Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Electrical Symbols Recognition of HOG

Electrical symbols recognition is one of the hot spots in the field of computer vision and electrical design recently. Various factors will bring errors on computer recognition of electrical draw ings,such as size of the electrical symbols,draw ings of background fuzzy,rotation of the electrical symbols etc. . There are many electrical symbols recognition methods,but the problems are solved hardly. In order to overcome the external interference factors and improve recognition accuracy,an electrical symbol recognition method based on HOG is presented in the paper. Firstly,the electrical symbol training sets were established,and symbols of HOG feature were extracted. Secondly,support vector machine was trained by mean of these characteristics of HOG and classification information. Finally,symbols were recognized by support vector machines. Conducted different experiment of complex background research of electrical symbols and experimental study on the algorithm of the algorithm of SIFT and HOG,the results of experiments show that the proposed algorithm of HOG has good detection after experiment.
Artificial Neural Networks-Based Study of Vegetations Classification for Aerial Remote Sensing Image

A new method, which is constructed by Fuzzy Quantification and Multi-layer Feed-forward Neural Networks, is put forward for multi-category remote sensing image classification of vegetation. First, indexes of vegetation classification are fuzzily quantified by π function. Secondly, training samples are used to train the multi-layer feed-forward neural networks. At last, a supervised classifier is constructed and applied for vegetation classification from aerial image. Arial infrared photo of Ningbo city is choose as testing image and classification precision is 78%. The experimental results show that the approach is suitable for vegetation classification from multi-category remote sensing images.
SSD as a Cloud Cache? Carefully Design about It

Virtualization in clouds is promoting the current trend of sharing the storage with multiple tenants. This brings us two fundamental design issues when considering SSDs as a shared storage cache. (i) How can we choose the hierarchy cache model to reduce I/O latency? (ii) How can we design the dynamic cache space allocation strategy to maximize utilization of SSDs space? This paper mainly proposes the corresponding solutions to address the above two issues. (i) We design a cache-awareness model to avoid the useless network latency for querying. (ii) With using the weighted max-min fair share algorithm, measuring the weighted value of each tenant through recording the states of four multi-dimensional factors, can be beneficial to make wise decisions on SSD space allocation. Our experimental results validate that the cache-awareness model outperforms the other two models (cache-unawareness model and without cache) by 1× to 4× in latency. Meanwhile, compared to the static weighted value initializations of the max-min algorithm, our method with dynamically measuring weight value on a tenant basis can achieve much better space utilization.
3D Interpretation of Conics and Or-thogonality

Abstract Computational techniques involving conics are formulated in the framework of projective geometry, and basic notions of projective geometry such as poles, polars, and conjugate pairs are reformulated as "computational procedures" with special emphasis on computational aspects. It is shown that the 3D geometry of three orthogonal lines can be interpreted by computing conics. We then describe an analytical procedure for computing the 3D geometry of a conic of a known shape from its projection. Real image examples are also given.
Investigating Factors Affecting Automated Question Triage for Social Reference

The efficiency and quality of the social reference sites are being challenged because a large quantity of the questions have not been answered or satisfied for quite a long time. Main goal of this study is to investigate important factors that affect the performance of question triage to relevant answerers in the context of social reference. To achieve the goal, expert finding techniques were used to construct an automated question triage approach to resolve this problem. Furthermore, important factors affecting triage decisions in digital reference were first examined, and extended them to the social reference setting by investigating important factors affecting the performance of automated question triage in the social reference setting. The study was conducted using question-answer pairs collected from Ask Metafilter. For the evaluation, logistic regression analyses were conducted to examine which factors would significantly affect the performance of predicting relevant answerers to questions. The results of the current study have important implications for research and practice in automated question triage for social reference. Furthermore, the results will offer insights into designing user-participatory digital reference systems.
Chaotic Time Series Model of Real-time Prediction of Traffic Flow

Aimed at the chaotic characteristic in urban traffic flow,authors introduced an improved prediction model of weighted one-rank local-region and applied the model to real-time prediction of traffic flow.In order to improve accuracy and speed of the algorithm,the number of optimum neighbor point was selected dynamically.By improvement,it became a real-time prediction algorithm with strong robustness and high accuracy.The method can be used for a brief time prediction of traffic flow.Simulation results indicate that the algorithm can meet real-time prediction of traffic flow completely and provides the massive foundation for traffic signal control and induction of traffic flow.
Complexity and Similarity of Recipes based on Entropy Measurement

Background/Objective: New cuisines are being constantly created by people and shared on the internet. Cooking is usually classified and evaluated by subjective factors such as the personal cooking ability. Methods/Statistical Analysis: In this paper, we define the objective method for measuring the recipe complexity using the probabilistic entropy measurement. Through the cooking ingredients and cooking verbs in a recipe, we measure the recipe complexity in terms of the recipe preparation and the recipe procedure. And we calculate the recipe similarity by the entropy of common ingredients and construct the social network of recipes that observes the whole correlation between recipes. Findings: As a result, the most difficult recipe in the cooking preparation is ‘Braised Dongtae Seafood’ that needs 27 ingredients. And the easiest recipe is ‘Boiled Potato’ that only needs 3 ingredients: ‘Potato’, Salt’ and ‘Sugar’. In the cooking procedure, ‘Jeolla-Province Mosi-Songpyeon’ is the most difficult recipe that uses 18 verb types and 28 verbs. The easiest recipe is ‘Healthy Silk-Fowl Soup’ that only uses ‘Boil’ to cook. Through the recipe network, we can measure the distance of the recipes and minimize the effort in ingredient preparation and cooking procedure when we planed the cooking schedule to prepare for many dishes. Application/Improvements: If we plan to cook a schedule, the easy path to cook could be indicated by the shortest path between the recipes in the network.
Seamless Video Switching System for Service Compatible 3DTV Broadcasting

Broadcasting services such as multi/single channel HDTV and 3DTV/2DTV use a multi‐channel encoder that changes the bitrate and composition of the video service depending on the time. However, this type of multi‐channel encoder could cause a longer latency owing to the variable bitrate and relatively bigger size of the buffers, which results in the same delay as in 3DTV even for a conventional DTV service. On the other hand, systems built based on separate encoders, each of which is optimized for the target service, might not have such latency problems. Nevertheless, there might be a distortion problem in the image and sound at the time of a switchover between two encoders with different output bitrates and group of picture structures. This paper proposes a system that can realize a seamless video service conversion using two different video encoders optimized for each video service. An overall functional description of the video service change control server, which is a main control block for the proposed system, is also provided. The experiment results confirm the seamless switchover and reduced broadcasting latency of DTV services compared with a broadcasting system composed of a multi‐channel encoder system.
Visual search for objects with straight lines

I present a new method of visual search for objects that include straight lines. This is usually the case for machine-made objects. I describe existing machine vision search methods and show how my method of visual search gives better performance on objects that have straight lines. Inspired from human vision, a two-step process is used. First straight line segments are detected in an image and characterized by their length, midpoint location, and orientation. Second, hypotheses that a particular straight line segment belongs to a known object are generated and tested. The set of hypotheses is constrained by spatial relationships in the known objects. I discuss implementation of my method and its performance and limitations in real and synthetic images. The speed and robustness of my method make it immediately applicable to many machine vision problems.
Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition

Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition Qingfu Zhang∗, Aimin Zhou∗, Shizheng Zhao†, Ponnuthurai Nagaratnam Suganthan†, Wudong Liu∗and Santosh Tiwari‡ ∗Technical Report CES-487 The School of Computer Science and Electronic Engieering University of Essex, Colchester, C04, 3SQ, UK †School of Electrical and Electronic Engineering Nanyang Technological University, 50 Nanyang Avenue, Singapore ‡Department of Mechanical Engineering Clemson University, Clemson, SC 29634, US
An approach for estimating real estate market dynamics

La presente tesis evalua el desempeno de diferentes algoritmos de machine learning para estimar el precio de las propiedades residenciales en la ciudad de Santiago de Cali. La estimacion del precio se basa en medidas de variables urbanas relacionadas con la conectividad de las calles y tecnicas de la teoria de la informacion. En particular, usando la tecnica conocida como coeficiente de informacion maxima (MIC) se demuestra que los atributos como la proximidad a universidades o centros comerciales se relacionan con el precio de las casas , de la misma forma que el estrato socio-economico. Por otra parte, se muestra que existe una relacion entre las medidas de centralidad de la red de calles, especificamente, las medidas de cercania (closeness) y excentricidad (eccentricity) y los precios de las casas. Finalmente, nuestro trabajo le permite a los vendedores y compradores de inmuebles determinar cuales ofertas del mercado son buenas. En general, provee un entendimiento del mercado inmobiliario y facilita el proceso de toma de decisiones.
Integrative analyses unveil speciation linked to host plant shift in 1

33 Discovering cryptic species in well-studied areas and taxonomic groups can have profound implications in 34 understanding eco-evolutionary processes and in nature conservation because such groups often involve research 35 models and act as flagship taxa for nature management. In this study we use an array of techniques to study the 36 butterflies in the Spialia sertorius species group (Lepidoptera, Hesperiidae). The integration of genetic, 37 chemical, cytogenetic, morphological, ecological and microbiological data indicates that the sertorius species 38 complex includes at least five species that differentiated during the last three million years. As a result, we 39 propose the restitution of the species status for two taxa usually treated as subspecies, Spialia ali (Oberthür, 4
A Fast Inter Mode Decision Algorithm Based on AVS Video Coding

AVS1-P2 introduces several prediction modes for inter coding. In order to achieve the best coding efficiency,the rate distortion optimization is exploited to choose the most suitable predicting mode,but it is very computationally expensive.In this paper,according to the characteristics of AVS1-P2 integer transform,we propose a new fast inter mode decision algorithm to improve the encoder speed based on two criterions,early termination based on all zero block detection and the prediction of inter-mode size using texture characteristic of macroblock.Compared with the reference code,simulation results show that this method will reduce the computing complexity of encoder and improve the encoding efficiency of AVS1-P2 software encoder while bit-rate and video quality almost remain unchanged.
Noise filtering with edge preservation in digital images

The widespread use of the absolute gradient and the sample variance in present day local noise filters in digital image processing is pointed out. It is shown that the sample variance and the absolute gradient can be viewed as measures of the modelling error for a simple zeroth order local image model. This is shown to lead to a general formulation of local noise filtering applicable to the great majority of current local noise niters for digital images. This formulations describes local noise filtering as a two step process. In the first step a robust estimation of every pixel zQ is obtained. In the second step a better estimate of z0 is obtained by performing a weighted sum within a neighborhood of z0. The weights in the second step are related to some measure of modelling error of the above zeroth order model; namely, the absolute gradient or the sample variance. Of the above two measures of modelling error, the sample variance is shown to be the least sensitive to noise. Furthermore, the sample variance is also more sensitive to faint image edges. Therefore,the sample variance is the most desirable of the above two measures of modelling error. Unfortunately, its use until now has been hampered by its poor edge localization. To solve this problem a new measure of modelling error is introduced which achieves far superior edge localization than the sample variance (though still lower than the absolute gradient) but maintains the low noise sensitivity. A filter is designed based on this new measure of modelling error (of the zeroth order model described above) which is shown to perform better, in a least squares sense, than all other local noise filters for nonimpulsive additive and multiplicative noise. A practical implementation of this original filter is also presented. T A B L E OF C O N T E N T S Abstract ii Table of
Ant colony-based wireless sensor networks routing algorithm

This paper proposed an ant colony-based routing algorithm(ACRA) for routing optimization designing,in which the communication messages sent by nodes for searching the optimal route were treated as ants with limited life-span.Through the ants' movement back and forth among source nodes and sink nodes,the main routing path and multiple candidate routing paths could be distributedly obtained.The simulation results show the validity of ACRA.
Voice Portal for Public City Transportation

This paper discusses the main aspects of the usercenter design for developing a voice portal and the impact it had while creating such a system in the Warsaw city transportation call center. The system was shown to be effective and support its users in their needs: about 30% of users completed their requests through the automated system without talking to human operators.
P3-Mobile Parallel Peer-to-Peer computing on mobile devices

P3-Mobile is a new parallel computing model based on the crowd sourcing of mobile devices to form a hyper local edge-cloud. The idea behind an edge-cloud is to form a computational/storage cloud comprised solely of a collection of nearby wireless edge devices, with the purpose of pooling these devices data and processing power to support a new class of proximity-aware applications that benefit the owners of these devices. The premise behind these edge clouds is that all of the constituent nodes are edge (and not server-caliber) computers, and that any and all computation is performed completely within the edge cloud, i.e., there is no offloading/tethering of the computation/data to a non-edge, back-end, traditional-cloud infrastructure. In previous work, a Parallel Peer-to-Peer (P3) model was created towards the Internet and static devices, polling a big sum of resources that as a whole were able to perform highly complex computations. However, when that model is transposed to mobile devices several new problems arise and new techniques must be developed to perform parallel peer-to-peer computations on this very dynamic and volatile environment. P3-Mobile aims to make that transition from physically connected devices to mobile and wireless devices, always having in mind the principles of the original model: high availability, portability and simplicity. This dissertation describes in detail a computational model for P3 Mobile, focusing on its architecture and implementation. The architecture of P3 Mobile is service based and it includes four main components, a link service to manage communications, a network service to manage group nodes coordination, a storage service to manage files, and a parallel processing service to run parallel programs within the P3 Mobile environment. The algorithms that enable these services to operate, and their implementation, are described in detail. Performance is assessed with an example application to calculate the Mandelbrot set in a distributed fashion using the P3 Mobile system.
Evolving Fuzzy Systems Methodologies Advanced Concepts And Applications

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A QoS architecture for the MAC protocol of IEEE 802.16 BWA system

Providing quality of service (QoS) guarantees for heterogeneous classes of traffic with different QoS requirements in fixed broadband wireless access (BWA) system is a very important and challenging problem. Although IEEE 802.16 MAC protocols have been proposed to support QoS guarantees for various kinds of applications, they do not suggest how to schedule traffic to fulfill QoS requirements. In order to provide different levels of QoS guarantees for various applications while still achieving high system utilization, a QoS architecture should be integrated into the MAC protocol. We first provide a background on the IEEE 802.16 BWA system, we then propose an efficient QoS architecture, based on priority scheduling and dynamic bandwidth allocation, to provide QoS guarantees for the BWA system and propose an efficient scheduling strategy for schedulers in the architecture.
Design and recognition of coded targets for 3-D registration

An algorithm was developed for 3-D registration of coded targets based on observations of all sides of objects with large surface areas.The coded target has coded points and marked points.Position information is provided by the marked points with the coding information compiled and stored in the coding points.Accurate recognition of the coded target points depends on the quantity of the coding points and eccentricity errors.Experiments show that the coded target is easily and accurately detected with the marked positioning points.
‘I always wanted to do second chance learning’: identities and experiences of tutors on Access to Higher Education courses

There is a dearth of literature on Access to Higher Education (AHE) tutors, which this paper addresses. Tutors play an important part in constructing emotional and academic support for students. Understanding their constructions of professional identity and their views of the students they teach helps to explain the learning environments they create. The empirical qualitative data comes from a study of AHE students’ and tutors’ views of their experiences on AHE courses that was collected in seven rural and urban AHE-providing institutions in the East Midlands of England in 2012–2013. It was analysed using open or inductive coding to reflect the emphases given in their interviews by participants. Emerging findings suggest that tutors’ commitment to ‘second chance learning’ arose, in part, from their own biographies and recognition of the disempowerment experienced by AHE students who were often economically disadvantaged and had had negative experiences of schooling and/or a period of work before joining the course. Tutors’ sense of agency and identity and the cultures on AHE courses were negotiated each year through getting to know the students, meeting their extensive demands for support, directing their teaching and learning experiences and contesting the institutional contexts of the courses.
Harmonic Minimization in Seven Level Cascaded Multilevel Inverter Using Selective Harmonic Elimination PWM Techniques

This paper concentrates on enhancing the productivity of the multilevel inverter and nature of yield voltage waveform. Seven level lessened switches topology has been actualized with just seven switches. Essential Switching plan and Selective Harmonics Elimination were executed to diminish the Total Harmonics Distortion (THD) esteem. Selective Harmonics Elimination Stepped Waveform (SHESW) strategy is executed to dispense with the lower order harmonics. Fundamental switching plan is utilized to control the switches in the inverter. The proposed topology is reasonable for any number of levels. The harmonic lessening is accomplished by selecting fitting switching angles. It indicates would like to decrease starting expense and unpredictability consequently it is able for modern applications. In this paper, third and fifth level harmonics have been disposed of. Simulation work is done utilizing the MATLAB/Simulink programming results have been displayed to accept the hypothesis.
The Application of EXCEL in Chemical Engineering Calculation

The article introduces principal knowledge of EXCEL and the application in chemical engineering calculation. The citation of relative address, single goal seeking and repeating operating are used to calculate: the questions in chemical engineering technoolgy. This article presents detailed operation approcach and examples of chemical engineering calculation. This brief, fast and accurate method elevates calculation efficiency greatly,and be effectively applied in relative themical engineering calculation.