- Injection-locked frequency divider and multiplier measurement system
- Hsu-Feng Hsiao, Chih-Ho Tu, Da-Chiang Chang, Jheng-Wei Wu, Janne-Wha Wu | Microwave Conference (APMC), 2015 Asia-Pacific (v.1 / pp.1-3 / 2015)
- In the past, the frequency locking range and injection-locked power sensitivity for injection-locked frequency divider and injection-locked frequency multiplier circuits
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In the past, the frequency locking range and injection-locked power sensitivity for injection-locked frequency divider and injection-locked frequency multiplier circuits might be measured and obtained by sight observation and writing down the measured results. Moreover, it might take a lot of time to measure and confirm frequency locking range and injection-locked power sensitivity by sight observation and writing down method. Therefore, in order to avoid these issues from sight observation and miswriting, this paper proposes an on-PCB and on-wafer injection-locked frequency divider and multiplier measurement system and presents how to calibrate, search and confirm frequency locking range and injection-locked power sensitivity by calibration and measurement software programmed by standard commands for programmable instruments (SCPI) with Keysight Visual Engineering Environment (VEE) software.
- A system of categorization and classification based on certain criteria
- Gyorodi, Robert, Gyorodi, Cornelia, Tontea, Anamaria, Bandici, Livia | Computers Communications and Control (ICCCC), 2016 6th International Conference on (v.2016 / no.5 / pp.208-212 / 2016)
- This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementa
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This paper proposes a new system of categorization and classification using data mining techniques based on certain criteria/topics. We describe the design and implementation of proposed system that automatically categorizes a restaurant as being good or bad, using data mining techniques, based on users' reviews. For this study we took a data set consisting of approximately 9,000 reviews for 2,355 restaurants in Romania. The categorization was done on four criteria/topics: food, service, prices, atmosphere, and the results are represented as a range for each topic separately.
- Human health impact of multifunctional textiles obtained by using plasma technology
- Aileni, Raluca M., Surdu, Lilioara, Oksuz, Lutfi | Plasma Sciences (ICOPS), 2015 IEEE International Conference on (v.2015 / no.5 / pp.1-1 / 2015)
- Summary form only given. This paper presents aspects regarding human health impact that could have functionalized textile by using plasma nanotechnology. The usage of pla
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Summary form only given. This paper presents aspects regarding human health impact that could have functionalized textile by using plasma nanotechnology. The usage of plasma for textile pretreatment is done for removing the natural impurities and oil residues, which are added during woven structure manufacturing process, and for improving material wettability which is necessary for dyeing, printing, hydrophobization or deposition of medical substances. The textile surface preparations by using plasma nanotechnology is a clean and safety process and improve the washing cycles because by using plasma activation the substance used for treatment is fixed deeper in the textile structure. For preparation of textile structure by using traditional finishing method it is occurring the problem of the residues from wet finishing process which harmful for environment. For example for cotton fiber, conventional wet pretreatment processes include scouring, bleaching and mercerization [1]. These pretreatments remove impurities such as pectin, wax and oil, cotton seed residues, sizing materials [1]. The pretreatment processes require a long treatment time, more chemicals and high treatment temperature, resulting in low production efficiency, high energy consumption and heavy loading in effluent [1]. By using plasma treatment we can obtain chemicals economy, reducing the time necessary for finishing process and the harmful substances. The treatment which could follow to low temperature plasma treatment it is mild and can improve the antimicrobial fabric properties by pretreating the material with colloidal silver or chitosan solutions. The chemical treatment used on textile surfaces functionalized in plasma is energy-saving pretreatment processes. For our work we obtain cotton fabric functionalization by using oxygen plasma treatment for 10 minutes. After this time limit, we observe that the cotton fibers is in accelerated aging process, practically from 20 minutes to 90 minutes plasma treatment the cotton suffer a depolymerization which affect the textile structure resistances (traction, abrasion) [2]. In the case of polyester fabric we observed a good functionalization of the structure after 20 minutes plasma treatment, but after this limit to the interval of 90 minutes plasma treatment the polyester knows an accelerated polymerization [2].
- Decomposition-based modeling algorithm by CCA-PLS for large scale processes
- Lijuan Li, Lu Xiong, Ouguan Xu, Shengxiang Hu, Hongye Su | American Control Conference (ACC), 2015 (v.2015 / no.7 / pp.1321-1326 / 2015)
- As the crucial part of predictive control, distributed modeling method is seldom studied due to the absence of efficient methods to system decomposition. In this paper, a
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As the crucial part of predictive control, distributed modeling method is seldom studied due to the absence of efficient methods to system decomposition. In this paper, a process decomposition algorithm based on canonical correlation analysis (CCA) is proposed. The output variables of all subsystems are firstly determined by the process. And then the maximum correlation coefficient between the outputs of a subsystem and all the process variables are calculated. The variables corresponding to larger elements of axial vector extracted by the maximum correlation coefficient are selected as the input variables. After the decomposition, the sub-models are constructed by PLS algorithm and the final subsystem models are obtained. The proposed method is experimented in the modeling of typical Tennessee Eastman (TE) process and the result shows the good performance.
- Community alarm system design based on MCU and GSM
- Zhaoxia Wang, Hanshi Wang, Lizhen Liu, Wei Song, JingLi Lu | Computer Science and Network Technology (ICCSNT), 2015 4th International Conference on (v.1 / pp.859-862 / 2015)
- In this paper, we use GSM mobile network that is the most reliable and matured in this day to achieve community alarm system. And it will directly convey the alarm news i
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In this paper, we use GSM mobile network that is the most reliable and matured in this day to achieve community alarm system. And it will directly convey the alarm news in short message or telephone at manager's mobile phone. The design includes hardware and software parts. Its hardware uses MCU AT89C52 series as the core, and controls three alarm parts, they are infrared monitoring alarm system, alarm displayed on LCD, and GSM module. The system adopted passive infrared sensor to detect, and it turned the traditional network security and anti-theft window into the invisible network, so as to timely handle accidents. When the accident happened in the community, the infrared sensor module sends out the alarm signal to the micro-controller, single chip microcomputer receives the signal through the GSM module to send the message immediately to the manager, and then managers to take immediate measures, the site security alarm and remote alarm can be achieved simultaneously.
- Accessing Cultural Artifacts through Digital Companions: The Effects on Children's Engagement
- Rehm, Matthias, Jensen, Martin Lynge | Culture and Computing (Culture Computing), 2015 International Conference on (v.2015 / no.10 / pp.72-79 / 2015)
- This paper presents a study that explores how the introduction of a digital companion agent for a museum exploration game changes children's engagement with the presented
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This paper presents a study that explores how the introduction of a digital companion agent for a museum exploration game changes children's engagement with the presented artworks. To this end, a mobile application was developed featuring a monster agent that has eaten the artworks, which the children had now to find in the museum. Results show that in comparison to the paper-based version of the exploration game, children engaged in more interactions with the actual cultural artifacts and showed a significantly higher retention rate for details of the involved artworks.
- Categorizing food names in restaurant reviews
- Prakhash, S., Nazick, A., Panchendrarajan, R., Brunthavan, M., Ranathunga, S., Pemasiri, A. | Moratuwa Engineering Research Conference (MERCon), 2016 (v.2016 / no.4 / pp.1-5 / 2016)
- There are many aspects such as food, service, and ambience that a customer would look for, when deciding on a restaurant to dine in. Among these aspects, the type of food
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There are many aspects such as food, service, and ambience that a customer would look for, when deciding on a restaurant to dine in. Among these aspects, the type of food it sells and the food quality are the most important. Therefore, when automatically rating restaurants based on customer reviews, the food aspect plays a major role. There exists some research on rating individual food items in a restaurant. However, a potential customer requires not the ranking of an individual food item, but the ranking of a particular food category in general. In order to do that, a categorization of food names is required. This paper presents two techniques for food name categorization using document similarity measurements.
- Analysis of dual-band hairpin resonator filter
- Lekshmy, B. S., Lalu, Gowri, Narayanan, Gayathri, Menon, Sreedevi K. | Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on (v.2015 / no.2 / pp.655-658 / 2015)
- In this paper, analysis of a dual-band filter using hairpin resonator is presented. By geometrical modifications of a hairpin resonator, bands stop and band pass characte
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In this paper, analysis of a dual-band filter using hairpin resonator is presented. By geometrical modifications of a hairpin resonator, bands stop and band pass characteristics are observed in the frequency spectrum. The variations of the geometrical parameters have been studied in detail and optimized for best filter performance.
- Measured Dielectric permittivity of chlorinated drinking water in the microwave frequency range
- Abdelgwad, Ahmad H., Said, Tarek M. | Microwave Symposium (MMS), 2015 IEEE 15th Mediterranean (v.2015 / no.11 / pp.1-4 / 2015)
- The safety of drinking water is directly dependent on the chlorine content and therefore the study gains its importance. Chlorinated water is safe to drink as long as the
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The safety of drinking water is directly dependent on the chlorine content and therefore the study gains its importance. Chlorinated water is safe to drink as long as the levels of chlorine comply with the water quality factors. The purpose of this research is to study the effect of chlorine concentration on the complex dielectric permittivity of water. The measurement of the complex permittivity of chlorinated drinking water is reported in the frequency range 500 MHz - 4 GHz using open-ended coaxial probe technique. Measurements are carried out using a dielectric assessment system associated with an automatic network analyzer and a dielectric probe connected to a computer. The experimental set up is described and the procedure followed to obtain an effective permittivity data is outlined. These measurements are, to the best of the author's knowledge, the first of its kind to be published. The dielectric constant and loss factor for all measured samples are analyzed and the effect of the chlorine concentration is studied. The results indicate that chlorine content has a significant effect on both dielectric constant and the loss factor. Results of this work show that microwave sensing is an effective methodology for monitoring water quality and possible contamination.
- Statistical treatment for trend detection and analyzing of electrical load using programming language R
- Keka, Ilir, Cico, Betim | Embedded Computing (MECO), 2015 4th Mediterranean Conference on (v.2015 / no.6 / pp.216-219 / 2015)
- The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electri
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The data collected based on the electricity stream in a PowerSystem could be very useful information for electricity companies. This information is related to the electrical demand of the customers. The aim of this paper is to analyze and to detect the trend of electrical load consume from the customers in an area. This is achieved using the statistical approach on the data collected from the meter reading devices. In this paper is given an overview of the features of electricity and also are calculated some statistical parameters. The statistical treatment is done in the electrical data based on R language.
- Community Detection Analysis of Heterogeneous Network
- Du, Shuai, Niu, Kai, He, Zhiqiang, Qiao, Yuqian | Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2015 International Conference on (v.2015 / no.9 / pp.509-512 / 2015)
- With the rapid development of information society, intricate relationship between objects establish huge heterogeneous networks. The linkage is affected by multiple facto
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With the rapid development of information society, intricate relationship between objects establish huge heterogeneous networks. The linkage is affected by multiple factors, which makes community detection on heterogeneous network a difficult task. Traditional clustering algorithms focus on divided factors, ignoring the combination of them. If the structure of multi-dimensional information is taken into consideration, the results can be more accurate and meaningful. In this paper, we introduce an improved fuzzy clustering algorithm to solve the problem of community detection of heterogeneous network. First extract the features of heterogeneous network and initialize K clusters. Then use a model to create a K-dimensional vector for each object which denotes the probability of belonging to every cluster. Through modifying a classic fuzzy clustering algorithm FCM (Fuzzy c-means) called HFCM, objects can be reassigned to cluster based on the maximum probability. Finally synthetic data and real data are used to verify the correctness of the algorithm.
- Simulation analysis of a real small production process
- Haffner, Oto, Kralova, Zdenka | Carpathian Control Conference (ICCC), 2015 16th International (v.2015 / no.5 / pp.153-158 / 2015)
- The paper presents a case study on simulation analysis of a real process aiming to improve its performance. The final products are the handmade goods belonged to the cate
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The paper presents a case study on simulation analysis of a real process aiming to improve its performance. The final products are the handmade goods belonged to the category of children's toys. The objects of the analysis are organizational and technological changes, enabling to expand the actual process capacities. Simulation software WITNESS is used for modelling and analysis.
- Community detection in social networks using ant colony algorithm and fuzzy clustering
- Noveiri, Ehsan, Naderan, Marjan, Alavi, Seyed Enayatollah | Computer and Knowledge Engineering (ICCKE), 2015 5th International Conference on (v.2015 / no.10 / pp.73-79 / 2015)
- Nowadays, social networks with hundreds of millions user are regarded as powerful tools to conduct the information flow about communications in modern societies. During t
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Nowadays, social networks with hundreds of millions user are regarded as powerful tools to conduct the information flow about communications in modern societies. During the last decade, researchers have made a huge attention on studying and analysis of different aspects of these networks. A curiosity property of these networks is the presence of communities (or clusters), which represent subsets of nodes within the network such that the number of edges between nodes in the same community is large whereas the number of edges connecting nodes in different communities is small. In this paper, we suggest a bipartite algorithm for finding communities in social networks. First, we use artificial ants to traverse the network modeled by a graph based on a set of rules to find a #x201C;good region #x201D; of edges that are likely to connect nodes within a community. Using these edges we construct the communities after which local optimization methods are used to further improve the solution quality. Next, we use a fuzzy clustering algorithm called Fuzzy C-Means (FCM) to fine tune the result achieved in the first phase. Experimental results on several synthetic and real world networks show that the algorithm is very competitive against current state-of-the-art techniques for community detection. In particular, our algorithm is more accurate than existing algorithms as it performs well across many different types of networks.
- Decomposition of contact force using contact pressure for haptic augmented reality
- Kim, Hyoungkyun, Choi, Seungmoon, Chung, Wan Kyun | Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on (v.2015 / no.10 / pp.194-196 / 2015)
- In this paper, we present a decomposition method of contact force between a haptic interface and an object for haptic augmented reality. The proposed method uses contact
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In this paper, we present a decomposition method of contact force between a haptic interface and an object for haptic augmented reality. The proposed method uses contact pressure distribution as well as force measurement. Thanks to the contact pressure distribution, the proposed method can find the right normal direction regardless of large shear deformation. The simulation result validated the performance of the proposed method.
- Provably good max-min-m-neighbor-TSP-based subfield scheduling for electron-beam photomask fabrication
- Lin, Zhi-Wen, Fang, Shao-Yun, Chang, Yao-Wen, Rao, Wei-Cheng, Kuan, Chieh-Hsiung | Computer-Aided Design (ICCAD), 2015 IEEE/ACM International Conference on (v.2015 / no.11 / pp.388-395 / 2015)
- Electron beam lithography (EBL) has been used for high-resolution photomask fabrication; its successive heating process in a certain region, however, may cause critical d
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Electron beam lithography (EBL) has been used for high-resolution photomask fabrication; its successive heating process in a certain region, however, may cause critical dimension (CD) distortion. As a result, subfield scheduling which reorders a sequence of subfields in the writing process is desirable to avoid the heating problem and thus CD distortion. To consider longer-range heat dissipation, this paper models a subfield scheduling problem with blocked region consideration as a constrained max-min m-neighbor travelling salesman problem (called constrained m-nTSP). To solve the constrained m-nTSP which is NP-complete in general, we decompose a constrained m-nTSP into subproblems conforming to a special case with points on two parallel lines, solve each of them with a provably good linear-time approximation algorithm, and merge them into a complete scheduling solution. In particular, our algorithm can also minimize the distances between successive subfields to alleviate the throughput degradation of EBL writing due to moving a writing head, while minimizing the heating problem. Average reductions of 10% in the maximum temperature and 14% in the distances between successive subfields over the state-of-the-art work can be achieved.
- Co-simulation for a flexible four-bar mechanism
- Fu-Shin Lee, Chen-I Lin, Zhi-Yu Chen | Advanced Robotics and Intelligent Systems (ARIS), 2015 International Conference on (v.2015 / no.5 / pp.1-5 / 2015)
- The main objective of this study is to establish a virtual prototyping model of a flexible four-bar mechanism and perform co-simulations using both mechanism model constr
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The main objective of this study is to establish a virtual prototyping model of a flexible four-bar mechanism and perform co-simulations using both mechanism model construction and control strategy development tools for the structure. Taking the four-bar mechanism as an example, a co-simulation control approach is introduced to study multi-body flexible dynamics. Lagrange approach is first implemented to study the dynamics model of a rigid four-bar mechanism, and co-simulations are conducted to investigate the responses of its flexible form made of various materials. Then, controller strategies are exercised to demand the four-bar mechanism to response as requested. The study verifies the feasibility to control of flexible multi-body mechanisms' traces.
- Effect of crystallinity-damage recovery on mechanical properties of Ga-implanted sub-100nm Si nanowires
- Fujii, T., Kozeki, T., Inoue, S., Namazu, T. | Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS), 2015 Transducers - 2015 18th International Conference on (v.2015 / no.6 / pp.900-903 / 2015)
- In this paper, the effect of high-vacuum annealing with crystallinity-damage recovery on mechanical characteristics of Ga-implanted Si nanowires (NWs) fabricated by focus
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In this paper, the effect of high-vacuum annealing with crystallinity-damage recovery on mechanical characteristics of Ga-implanted Si nanowires (NWs) fabricated by focused ion beam (FIB) is described. We have specially designed and developed #x201C;Beetle-like #x201D; tensile test device, presented for the first time, enables us to directly tension 10 ~ 200 nm-wide Si NWs with high precision. Also, we have established the test technique to perform the tensile testing with in-situ observation in a field-emission scanning electron microscope (FE-SEM), which has the displacement measurement system by a digital image correlation using SEM image. In addition, #x201C;Cassette-type #x201D; sample preparation technique for Si NWs made from silicon on nothing (SON) membrane is contrived for annealing at 700 #x00B0;C in high-vacuum. After the annealing, Si NWs were sampled to the device without FIB observation, and tensile tested. The Young's modulus gradually recovers with increasing annealing time, whereas the strength drops first at 10 sec annealing and then slightly increases with annealing time. The difference in recovering process between these characteristics is discussed from the viewpoint of crystallinity recovery and Ga-nanocluster generation annihilation.
- Simulation of Microgrid with energy management system
- Bhavsar, Yogesh S., Joshi, Prasad V., Akolkar, Sonali M. | Energy Systems and Applications, 2015 International Conference on (v.2015 / no.10 / pp.592-596 / 2015)
- Day by day the electricity demand is increasing exponentially. To fulfill this increasing demand of electricity more and more utilization of non-conventional energy sourc
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Day by day the electricity demand is increasing exponentially. To fulfill this increasing demand of electricity more and more utilization of non-conventional energy sources are required as conventional sources are depleting. The best way to utilize the different renewable energy sources (RES) together is by using application of Microgrid. This paper illustrates the simple model of DC Microgrid with energy management system (EMS) which schedules the generation and load. The simulation model is developed in MATLAB/Simulink software containing photovoltaic array, wind turbine generator system (PMDC generator), battery storage system, grid and energy management controller. The simulation results are presented with variable load and variable generation conditions.
- Estimating the absolute total electron content, spatial gradients and time derivative from the GNSS data
- Yasyukevich, Yu.V., Mylnikova, A.A., Polyakova, A.S. | Radio Science Conference (URSI AT-RASC), 2015 1st URSI Atlantic (v.2015 / no.5 / pp.1-1 / 2015)
- Global navigation satellite systems have enabled to study the ionosphere in different regions of the world. The total electron content (TEC) of the Earth ionosphere can b
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Global navigation satellite systems have enabled to study the ionosphere in different regions of the world. The total electron content (TEC) of the Earth ionosphere can be determined from code and phase dual-frequency pseudorange measurements performed by receivers of GNSS signals. This technique is widely described in the literature (B. Hofmann-Wellenhof, H. Lichtenegger, J. Collins. New York: Springer-Verlag Wien, 389 p. 1998). To obtain the absolute TEC values, phase measurements are usually used, because they are weakly noised, and the ambiguity of the initial phase definition is eliminated with code ones. Thus, there occurs a systematic error termed differential code biases (DCBs). To determine absolute TEC accounting for DCBs from the data of a single GPS/GLONASS station as well as spatial gradients and time derivative, we have developed an algorithm. The algorithm includes estimating DCBs by using a simple model of measurements: equation where IV is the absolute vertical TEC value; #x0394; #x25A1;( #x0394;l) is the latitude (longitude) difference between the ionospheric point coordinate #x25A1; (l) and that of the station #x25A1; 0 (l 0 ); #x0394;t is the difference between the measurement time t and the time t 0 , for which the calculation is performed; G #x25A1; = #x2202 #x2202;I V / #x2202; #x25A1;, G l = #x2202;I V / #x2202;l, G q_ #x25A1; = #x2202; lt; #x2202; 2 I V / #x2202; #x25A1; 2 , G q_l = # #x2202; 2 I V / #x2202;l 2 are linear and quadratic spatial TEC gradients; G t = #x2202;I V / #x2202;t and G q_t = # #x2202; 2 I V / #x2202;t 2 are the first and second time derivatives.
- Simulation of oil spill using ANN and CA models
- Yihan Zhang, Jigang Qiao, Bingqi Wu, Weiqi Jiang, Xiaocong Xu, Guohua Hu | Geoinformatics, 2015 23rd International Conference on (v.2015 / no.6 / pp.1-5 / 20152161-024x)
- In this paper, the artificial neural network (ANN) used to obtain transition rules in oil spill CA model. Model parameters are difficult to obtain in many traditional oil
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In this paper, the artificial neural network (ANN) used to obtain transition rules in oil spill CA model. Model parameters are difficult to obtain in many traditional oil spill models, as they cannot meet the requirements of rapid response for oil spills. Therefore, a new oil spill model - ANN oil spill CA model was established in this paper. This model can simulate the change process of oil spill by setting initial image, verification image, and impact factors. Experimental results show that the simulation results have a good performance with overall accuracy of 96.6% and Kappa coefficient of 0.826. It was also found that the consistency of simulation results is proportional to the ratio of training sample. However, the higher the ratio of the training sample, the more computation is need in the ANN training. We also studied the effect of neurons number in the hidden layer. Studies show that the consistency of simulation results becomes better with the increase of neurons number in the initial stage for good fitting rate of training sample. However, the consistency of simulation results get worse for over-fitting of training sample in following stage.