Reviewerly/exHarmony huggingface dataset:
Dataset of Urduud1k from Natural Scenes

In latest years research has drawn attention on text analysis in natural scenes. Databases play a significant part in the efficiency assessment of the algorithm for text recognition. A data set of natural scene text images in six distinct languages have recently been released in an International Conference on Document Analysis and Recognition (ICDAR).This dataset is for multi-languages except Urdu. In the natural images of the Urdu scene, there is an absence of a conventional Urdu text database. This research therefore mainly aims to build a database for Urdu text in natural scenes. The dataset is very large because there are 10 distinct cameras with distinct resolution, distinct angles and distinct range requirements for each picture captured by distinct light zone. The dataset comprises of Urdu words, ligatures and characters in natural scenes. The dataset contains 16k images of words, 32k ligatures and characters images. This dataset contains 1kimagesincluding signboard, a name of the store, banners and so on. In addition, the Urdu dataset is contrasted with the current data set including ICRAR 2003, ARASTI, Chars 74k, etc. The dataset includes many images from the natural scene so it can be used in natural environments to identify Urdu text.
Route switching of the mobile robot using braille blocks

In this research, we aim at the autonomous navigation of a mobile robot using braille blocks. Braille block map has information on graph structure and angle of braille blocks. In the graph structure of the Braille blocks, point blocks are represented by nodes and line blocks are represented by edges. The mobile robot navigates to the destination by switching the edge. In this paper, we describe a route switching method using braille blocks around Shinjuku Station. As a result of the experiment, we could switch to the target route by node switching method using Braille block map.
A Method of Attitude Control for Mobile Robot on Three-Dimensional Surface under Disturbance of Wind

In order to reduce the burden of inspection, automation of inspection is required. As one of them, the use of multicopters are being studied widely. However, there are many problems in automatic inspection based on multi-copter’s approaches because of disturbance such as a wind at bridges. In this paper, we propose a method to stabilize the attitude control of three-dimensional-surface mobile robot with a multi-copter mechanism under disturbance of wind. The proposed method utilizes thrust force by the multi-copter as the pushing force. The pushing force works a robot body against the three-dimensional surfaces, and enables the robot to stabilize the attitude. We also developed the robot installed this mechanism for the bridge inspection. Through the experiments, we show the effectiveness of the proposed method.
Development of robotics wheel chair support to real environment barriers

In recent years, development and development of a robot wheel chair with many functions capable of overcoming various obstacles in real space has been progressed as expansion and expansion of the range of activities of persons with lower limb disorders. In this paper, we describe various functions and mechanisms of robotics wheelchair under development.
Development of a pneumatic gripper with grasping and pulling up

In this paper, a pneumatic gripper which can not only grasp objects but also pull up them is proposed. Branches of the air tube and relief valve are adopted to distribute the pneumatic power. Two operations of gripping and lifting the object are automatically switched without any sensor and even any control. Experiments were conducted and it was confirmed our developed gripper can grasp various objects.
Combining Human Visual and Haptic Perception in Human-Robot Interaction for Collaborative Manipulation

In this report, we present the study of combining human visual and haptic perception in human-robot interaction to realize collaborative manipulation. In our human-robot collaboration scheme, cognitive capabilities of human and accurate motion control capabilities of robot are well integrated. Human operator is designated for coarse global-motion under feedback interfaces utilizing human visual as well as haptic modalities. Fine local-motion in an active manner without involving human intention-aware is realized by a dynamic compensation robotic module with high-speed visual feedback. Primary experimental results verified effectiveness of the proposed method.
Construction of identification method of blink pattern used for electric wheelchair operation

In this study, a non-contact type operation system based on blinking state of user’s eyes with camera has developed for electric wheelchair operation. In this report, identification method for voluntary and involuntary of blinking has been constructed based on change in black pixel values at blinking with investigation of features for each blinking. Through the experiments, verification of the discrimination rate of the proposed method has been confirmed.
Puddle Detection for Avoidance Path Planning of Wheeled Mobile Robot Using Laser Reflection Intensity

Avoiding obstacles is one of important function for outdoor mobile robots. Although detecting three-dimensional obstacles and avoiding them have been studied, planar obstacles, such as puddles, have been ignored. Avoiding puddles is important to prevent electric problems, odometry error, and feeling displeasure. However, it is difficult to detect puddles by using only visual information. Because puddles change their shape and their color due to environmental conditions. This paper proposes the method to detect puddles by using laser reflection intensity and path planning method to avoid the puddles. Laser reflection intensity of various road surfaces were investigated, and the effectiveness of the proposed method was confirmed through real-robot experiments.
A Real-time Drone Surveillance System Using Pixel-level Short-time Fourier Transform

This study proposes a novel method for drone surveillance that can simultaneously analyze time-frequency responses at all pixels of a high-frame-rate video. Propellers of a flying drone are rotating at hundreds of Hz, and their principal vibration frequency components are much higher than those of their background objects. In order to separate pixels around a drone’s propellers from its background scene, we utilize these time-series features for vibration source localization with pixel-level short-time Fourier transform (STFT). We verify the relationship between the number of taps in the STFT computation and the performance of our algorithm such as execution time and localization accuracy by conducting experiments under various conditions such as degraded apparency, weather condition, and defocused blur. Its robustness is also verified by localizing a flying multicopter in real time in an outdoor scenario.
Usability Evaluation Scale for Product of Intelligent Homecare based on Retail Consumer

Purpose: The number intelligent homecare products are focused on the development of technology, resulting in a lack of realistic environments or...
Development of snake robot for education to learn mechatronics

For the snake robot, elements necessary for mechatronics such as Arduino, various sensors, motors, communication methods, etc. are used. Therefore, we will develop devices that students can learn mechatronics using the structure and system of the snake robot.
Process of Requirement Mining Using Agile Technique

Requirement engineering is a process in pursuit to develop a software system that can recognize, evaluate, manuscript and legalized its necessitates. Recent studies have promoted the concept of software development using agile software approaches. Several techniques have been adopted to introduce a software that is proficient enough to meet the customer requirements. This quick agile alteration requires an organization to be improved on continuous basis in their approaches to develop Requirement Engineering software. These agile alterations are beneficial due to its minimum cost strategy of change through software process. In case the project is poorly managed and the cost ratio over it is high it could mess up the entire project and the system showed its failure and problems stays remain. This work introduces a strengthen approach that concentrates on requirements and related information so as to limit and mitigate the effects of change in an agile process based on the identified challenges associated to agile development.
Navigation Using Graph in Forest Environment for Field Robot

In this research, we have been focussing on an autonomous moving robot for labor-saving of forestry. In this paper, we propose a method of trajectory generation in an forest environment. This method generate the trajectory based on a graph, whose vertices is trees consisting the forest. A line graph derived from an initial graph will be represented the trajectory that the robot can traverse entire of forest. We show feasible an automate of forestry work such as a weeding operation and survey of every trees by the demonstrate in experimental forest.
Simulating and executing circuits employing the quantum computing paradigm

Although Quantum Computing was introduced several decades ago, today is a hot-topic under research and development. Due to the technological difficulties to fabricate this type of computers, the employment of simulators become critical in order to allow researchers developing algorithms that can leverage the unique features of quantum computers, such as the case of Shor's or Grover's algorithms. Then, it is essential for these simulations to be as close as possible to the real results. In this paper we present a comparison between simulations and real executions of a 2-qubit adder. As the experiments show, the backends provided by IBM are able to obtain comparable simulated results to those obtained in real quantum computers.
An Integrated Sensitivity Analysis for the Basalt Specific Multicomponent Geothermometer for High Temperature Settings

For a successful geothermal reservoir exploration, an in-situ temperature estimation is essential. Since geothermometric reservoir temperature estimations often entail high uncertainties, statistical approaches are used. The focus is on the application of sensitive analyses on a basalt specific mineral set as multicomponent geothermometer to estimate the reservoir temperatures in Krafla, high-temperature geothermal field, Iceland.
Assessing Indonesia Spatial Data Infrastructure Using R for Disaster Management

Indonesia is a country with high disaster risk, entitled to ring of fire as one of the countries, which are surrounded by tectonic plates. The country has been exposed to natural hazards for decades. However, every time the natural hazard hits, the number of casualties remains huge. There is a serious question on how disaster management is going on in Indonesia and what knowledge could help to minimize or even prevent such huge casualties in any disaster occurrences. Big data can be a new approach towards natural disaster management mainly because it has the ability to visualize, analyze, and predict natural disasters. In the openly big data era, it is rather easy to process data with open-source software for managing the post-disaster as well as pre-disaster effect. The question remaining is how well the data is, which will be processed. This paper aims to appraise the quality of Indonesia's spatial data infrastructure using the R programming language in order to address natural disaster management and eventually lower the impact of the disaster. Some of the assessment criteria used in this paper are metadata of the data, positional accuracy, and completeness. The article concludes that Indonesia, as a country with high level of exposure to natural hazards, still lacks in NSDI quality, especially in providing disaster data. The most damaged buildings in Palu, with 2,416 damaged buildings affected. The sub-district of Nunu has the lowest number, with only 1 building damaged. The number of sub-districts with damaged buildings in Palu is 14 of the total 43 sub-districts.
The Correctness of a Code Generator for a Functional Language

Code generation is gaining popularity as a technique to bridge the gap between high-level models and executable code. We describe the theory underlying the PVS2C code generator that translates functional programs written using the PVS specification language to standalone, efficiently executable C code. We outline a correctness argument for the code generator. The techniques used are quite generic and can be applied to transform programs written in functional languages into imperative code. We use a formal model of reference counting to capture memory management and safe destructive updates for a simple first-order functional language with arrays. We exhibit a bisimulation between the functional execution and the imperative execution. This bisimulation shows that the generated imperative program returns the same result as the functional program.
Kernel-Based Direct Policy Search Reinforcement Learning Based on Variational Bayesian Inference

Direct policy search is a promising reinforcement learning framework in particular for controlling continuous, high-dimensional systems. As one of direct policy search, direct policy search reinforcement learning based on variational Bayesian inference (VBRL) was proposed. The VBRL algorithm estimates the policy parameter based on variational Bayesian inference and is therefore avoid overfitting problem. In this paper, we propose an extension of the VBRL model using techniques of kernel methods, which we call K-VBRL. The performance of the proposed K-VBRL is assessed in two experiments with mountain car task. These experiments highlight the K-VBRL produces higher average return and outperforms the conventional VBRL.
Design strategies for exploring and bridging: Intersections of everyday life and decision-making for sustainability

Transitions of unsustainable everyday practices into more sustainable ones require new approaches to explore possible futures and encourage change. Trying new practices and experiencing alternative configurations of socio-material assemblages can increase reflexivity as well as assist in exploring potential futures. Design can assist in co-creating possible futures and bridging discussions about the preferred strategies to reach them. If sustainability is defined as an on-going process calling for dialogue, there could be potentials for using practice-based design research, and in particular co-design approaches, at the intersections of these dialogues. By analysing methods for reflexivity and collaboration in two design research projects within sustainable mobility, we here suggest design strategies for prototyping change at an individual level and communicating the experiences of such change to people with power to trigger and direct change. This may be particularly useful for addressing sustainability which both requires dealing with complex problems and extensive collaboration.
A goethite process modeling method by Asynchronous Fuzzy Cognitive Network based on an improved constrained chicken swarm optimization algorithm

In order to solve the problem that the mechanism model of nonlinear system with uncertainty is difficult to establish, a modeling method of nonlinear system based on Asynchronous Fuzzy Cognitive Network (AFCN) is proposed. This method combines fuzzy cognitive network with time-lag system, and extends the node state values and weights of fuzzy cognitive network to the time interval, which enhances the adaptability of the model. At the same time an improved constrained chicken swarm optimization algorithm(ICCSOA) is proposed to identify model parameters of AFCN. A lag matrix corresponding to the actual measured values of the system lag of the nodes in the AFCN model is introduced, and a correction term including the difference between the measured values and the predicted values of the system is added to the model parameter updating mechanism. The simulation experiment results of goethite process system shows this modeling method can be used to model complex systems with uncertainties or partial missing data. The control model based on the established system model can make correct control decisions. ICCSOA has the advantages of fast convergence speed and accurate learning results, whose global search ability and convergence accuracy are higher than those of CSO algorithm, which can be widely used to the modeling of uncertain systems.
An Extended Skip Strategy for Inter Prediction

The High Efficiency Video Coding (HEVC) standard adopts inter prediction to eliminate temporal correlation between the successive frames. However, a large amount of bits need to be explicitly signaled in the bitstream to specify the motion information. In this paper, we propose an extended skip strategy to alleviate bit consumption for motion data during the inter prediction process. Specifically, before the current frame is encoded, an additional picture generated by a deep convolutional neural network (CNN) is introduced to inter prediction. Since the additional reference picture is more similar with the current frame, most blocks of this frame can be skipped in the coding process. Consequently, to further improve the compression, an extended skip strategy is designed, i.e., the current frame can be skipped in multi-levels, including frame-level and coding tree unit level (CTU-level). Moreover, the skip-level of the current frame is decided in the sense of rate-distortion optimization (RDO). The proposed algorithm is implemented on the HM-16.6 software and an average of 4.4% BD-rate gain has been achieved in the experiments, which indicates the superiority of the proposed method.
Improved Registration of Infrared Images Using EOH Descriptor

Feature-based image registration involves overlaying two images of the same area by extracting features, matching and computing geometric transformation. Multimodal image registration is useful in a variety of applications as the unique information contained in diverse images can be combined. Descriptors proposed for multimodal image matching such as edge-oriented histogram (EOH), log-Gabor histogram (LGHD) can address the photometric variation between the visual and infrared images better than conventional image descriptors such as SIFT. However, the invariance of such descriptors to geometric variations such as scale and rotation is poor. To address the geometric variations in addition to photometric variations, the region around the feature point is preprocessed using scale and rotation information of detector before deriving the descriptor. Different datasets are composed of images obtained in visible light and infrared spectra images, and IR images contain variations to compare scale, rotation, noise, blur, etc., to the performance with those of state-of-the-art algorithms.
Construction of Online Micro-curriculum Group of Instrumental Music Based on Streaming Media Technology

The instrumental music course is the main course of the music teaching. To promote the construction of the network micro-course group of instrumental music reasonably plays an irreplaceable role in improving students’ art practice abilities, music perception abilities, innovation abilities and music aesthetic abilities in an all-round way. As a new intelligent technology, the streaming media technology will give full play to its advantages, facilitate students to learn the relevant professional knowledge and build a vivid and flexible teaching mechanism. The teaching of the instrumental music is an important course in the music teaching. The traditional teaching mode has some disadvantages which affect the students’ enthusiasms and effects. By giving full play to the advantages of the streaming media technology, such as real-time and interaction and so on, it can make up for the shortcomings of the traditional teaching.
Correction to: British Neolithic Axehead Distributions and Their Implications

Due to a typesetting mistake, the images of Figs 2 and 3 were mistakenly switched. The original version has been corrected.
Regional Aspects of the Transformation of the Institution of Vocational Education

Modern Russian system of vocational education has the following levels of state regulation: institutions of higher education – on the Federal level (licensing and accreditation); institutions of secondary education – on the regional level (regional ministries and departments). Consequently, a region can have significant impact only on the training of mid-level specialists. According to the author, it leads to a bias in regulating the regional economy development. To assess this aspect, the author introduces the denationalization index as an indicator of the transformation of the vocational education system in regions, which resulted in the significant spread in the system of secondary education and very insignificant spread – in the system of higher education. The author also finds that the demand for services of private educational institutions is falling greatly in the field of higher education, and growing in the field of secondary education; over the past 10–12 years a greater confidence in public educational institutions in the field of higher education has been formed regardless to the form and tuition fees; at the institutional level, the ownership structure has been established, and existing relations between university administrations, teaching staff and main consumers of services (individuals) have gained a more expressed systemic nature. The researcher also concludes that there is a significant potential for the devaluation of vocational education. According to the author, the formation of the status of educational institutions as independent subjects in the market economy represents not so much a social infrastructure element as a structural element of the regional economic system resulting in the problem exacerbation associated with the imbalance in the level of development of human capital and technology in regions.
Pengaruh Media Video Terhadap Kemampuan Menulis Puisi Kelas V Sekolah Dasar Se- Kota Bengkulu

This research is to know the influence of the use of video media on the ability to write poetry of class V students in SD Negeri as Bengkulu City. The type of this research is quantitative research and the research design is the matching only posttest control design, taking the test one time that is done after giving treatment (treatment) in the sample class. The population in this study is the students of grade V in Bengkulu City. The sample in this research is VA class SD Negeri 38 Kota Bengkulu as experiment class and VB SD Negeri 58 Kota Bengkulu as control class with stratified random sampling sampling technique. The research instrument uses a description test (essay). Data of research result is analyzed by using inferential analysis that is t-test. Based on the results of data analysis obtained tcount of 3, 43 and ttable value of 2.019 with a significant level of 5% means Ha accepted. It can be concluded that there is influence of the use of video media on the ability of writing poetry of class V students in SD Negeri as Bengkulu City.
Publisher Correction: Spectroelectrochemical study of water oxidation on nickel and iron oxyhydroxide electrocatalysts

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Trends of Web Service Composition

Web service composition is about maximizing the benefits of different Web services by composing a certain number of Web services to deliver a fully end-to-end service.This paper presents a review of the two major trends of Web service compositions: top-down composition and bottom-up composition.The top-down composition starts with a well-defined goal and search criteria before searching for the composition, while the goal and search criteria in the bottom-up composition are not well defined.The bottom-up composition is often called Web service mining.Web service mining is a new trend that aims at discovering useful and interesting compositions of existing Web services.