Reviewerly/exHarmony huggingface dataset:
Comparative Study of Type-1 and Interval Type-2 Fuzzy Systems in Parameter Adaptation of the Fuzzy Flower Pollination Algorithm

Combining Interval Type-2 Fuzzy Logic Systems with metaheuristics has shown in most investigations that better results are obtained than with Type-1 Fuzzy Logic Systems. In this comparative study, experiments were carried out with Type-1 and Interval Type-2 Fuzzy Logic Systems, each one in combination with the Flower Pollination Algorithm. In the modification of parameters, with this combination of hybrid methods we carried out the comparative study. Previously, experiments were carried out with the flower pollination algorithm and the Type-1 Fuzzy Logic System (T1FLS), with the results of both methods, and we have concluded that better results are obtained with the hybrid method of Interval Type-2 Fuzzy Logic System (IT2FLS) and the Flower Pollination Algorithm (FPA).
WITHDRAWN: Meta-heuristic approach to enhance the performance of web crawler for web page clustering and link priority evaluation

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record.
More Attentional Local Descriptors for Few-Shot Learning

Learning from a few examples remains a key challenge for many computer vision tasks. Few-shot learning is proposed to tackle this problem. It aims to learn a classifier to classify images when each class contains only few samples with supervised information in image classification. So far, existing methods have achieved considerable progress, which use fully connected layer or global average pooling as the final classification method. However, due to the lack of samples, global feature may no longer be useful. In contrast, the local feature is more conductive to few-shot learning, but inevitably there will be some noises. In the meanwhile, inspired by human visual systems, the attention mechanism can obtain more valuable information and be widely used in various areas. Therefore, in this paper, we propose a method called More Attentional Deep Nearest Neighbor Neural Network (MADN4 in short) that combines the local descriptors with attention mechanism and is trained end-to-end from scratch. The experimental results on four benchmark datasets demonstrate the superior capability of our method.
Technologies that disempower

column Share on Technologies that disempower: design flaws in technologies used for the delivery of social protection measures in India Author: Aaditeshwar Seth IIT Delhi and Gram Vaani IIT Delhi and Gram VaaniView Profile Authors Info & Claims InteractionsVolume 27Issue 6November - December 2020 pp 57–61https://doi.org/10.1145/3424686Published:02 November 2020Publication History 1citation622DownloadsMetricsTotal Citations1Total Downloads622Last 12 Months204Last 6 weeks17 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Recent Advancements in Continuous Authentication Techniques for Mobile-Touchscreen-Based Devices

Mobile devices have proliferated into every area of activity in our lives today. Other than its use as a tool for communication and entertainment, it has also exhibited its importance as a device for conducting financial transactions, maintaining social profiles, storing and sharing confidential data. Owing to this criticality, there is an imminent need to provide security to this device at all levels. One type of security is Onetime User Authentication (OUA) for logging in to the device; the other being Continuous Authentication (CA) which is used for continuously and unobtrusively authenticating a user while the device is being used. If any unauthorized user bypasses the first type of security barrier, the second level of security, i.e., CA can act as the last line of defense for protecting the device. Although a good number of works have been carried out in this domain during the past decade, in this paper, we primarily elaborate on the direction of progress and developments that have taken place in the recent past.
Concordance of Risk Tendency Increases User's Satisfaction

The game agents in cooperative game must be not only intelligent but also acceptable to the player to provide a good game experience. A particularly important factor in implementing an acceptable agent is to make the risk-taking tendency closer to the player. People tend to be attracted to people who has same preference and make similar behavior with themselves. Thus, it is estimated that people are also attracted to cooperative game agents who has same tendency. In this study, we implemented two agents with different risk-taking tendencies. Participants evaluated gameplay with each agent. As a result, Participants with a high-risk taking tendency perceived that agents with a high-risk taking tendency understood the rules of the game more. And vice versa. This suggests that it is possible to improve the player's game experience by making the agent's risk tendency similar to the player's one.
Concept-Monadic Model of Technological Environment of Programming

In this paper, the principles of an adaptive technological programming environment based on an intersubjective paradigm are developed. For this purpose, the understanding of programming is adequately enriched by introducing conceptual logical structures. This allows you to move away from the general concept of programming as a subject-defined activity and to lay the foundations for its technologization.
Chapter 7. The Finnish projector phrase se että as a fixed expression

This chapter shows that the Finnish expression se että ‘it (is) that’, consisting of a demonstrative followed by a complementizer, is a fixed projective element in talk-in-interaction both on its own and with collocating elements. It shares features with projector phrases identified for other languages: it is used both to prepare the addressee for the nature of the upcoming and to underline the upcoming as central to the ongoing interaction. The analysis of se että having grammaticized into a projector phrase is supported by prosodic evidence: the two elements are most often produced as one prosodic word. The findings support the idea that se että emerges in interaction with a fixed form rather than being generated by a syntactic rule.
Portability Characteristics Evaluation of MyITS Mobile using ISO/IEC 25010 Quality Standard

Academic system is one of requirements in the academic process to make it easier to manage academic data, such as study plans, grades, and administration. MyITS Mobile is an information system that is accessed by a mobile that utilizes both Android and IOS operating systems. MyITS Mobile is often used by various academic parties such as students, lecturers, and teaching staff, as well as student trustees. In addition, system is run in several operating systems and software that have different characteristics. Therefore, it is necessary to guarantee maximum quality of portability of system. Portability quality assurance is measured by ISO / IEC 25010 quality standards with sub characteristics namely characteristics, namely Adaptability, Installability, Replaceability. This study aims to measure quality of portability on MyITS Mobile using ISO / IEC 25010 quality standards. By measuring the quality of portability using six metrics on three sub characteristics obtained a maximum calculation result of 1.0. It proves that the MyITS application can run well in a variety of environments, especially on the Android and IOS operating systems. However, although some features needed by each user have been running well, there are some features that have not been completed in the process. As a result, some features do not function and run properly in accordance with the design of MyITS mobile.
Violent Behavioral Activity Classification Using Artificial Neural Network

Detection of video information is a great help in classifying non-standard / abnormal human behavior. It is more difficult to detect objects from videos when information in videos are time bound to each other. In this paper we discuss the need to detect and classify this data. Also, we try to improve classification process by various methods. A specially modified convolution neural network architecture was used along with Long Short-Term Memory (LSTM) and time distribution in experiment. Convolution neural layers for 2D data, in architecture were used.
Towards a Universal Steganalyser Using Convolutional Neural Networks

A universal steganalyser has been the goal of many research leading to some good trials. Such steganalysers relied on machine learning and a wide range of features that can be extracted from images. However, increasing the dimensionality of the extracted features leads to the rapid rise in the complexity of algorithms. In recent years, some studies have indicated that well-designed convolutional neural networks (CNN) can achieve comparable performance to the two-step machine learning approaches. This paper aims to investigate different CNN architectures and diverse training strategies to propose a universal steganalysis model that can detect the presence of secret data in a colour stego-image. Since the detection of a stego-image can be considered as a classification problem, a CNN-based classifier has been proposed here. The experimental results of the proposed approach proved the efficiency in the main aspects of image steganography compared with the current state-of-the-art methods. However, a universal steganalysis is still unachievable, and more work should be done in this field.
Cerebellum and Frontal Lobe Segmentation Based on K-Means Clustering and Morphological Transformation

K-means clustering can be used as an algorithm segmentation that can split an area of interest from the image into several different regions containing each pixel based on color. Nevertheless, the result of the color division of the clustering has not been able to display clean segmentation because there are still pixels that connect each other and produce pixel noise or unwanted pixels. In this work, we propose a technique where it can select four dominant colors from the k-means clustering results then display it as digital image output. In our approach, the proposed method can separate the cerebellum and frontal lobe from the background of the brain after several operations of morphological transformation. In implementing this method, three samples of the brain from different people were tested. From the experimental results, the DSI produces a value of 0.72 from 1 for the frontal lobe and 0.86 from 1 for the cerebellum. It means that the proposed method can segment the desired part of the brain properly.
Multi-model Network for Fine-Grained Cross-Media Retrieval

With the development of Internet, the forms of web data are rapidly increasing. However, existing cross-media retrieval methods mainly focus on coarse-grained, which is far from being satisfied in practical application. In addition, the heterogeneity gap among different types of media tends to result in inconsistent data representation, so the measuring similarity is quite challenging. In this work, we propose a novel multi-modal network for fine-grained cross-media retrieval. Specifically, our model consists of two networks, including proprietary networks and the common network. The proprietary network is designed as a single feature extraction network for each media to extract unique features for obtaining precise media feature representation. The common network is designed to extract common features of four different types of media. Comprehensive experiments demonstrate the effectiveness of our proposed approach. The source code and models of this work have been made public available at: https://github.com/fgcmr/fgcmr.
Design (In)actions

Sometimes the best decision may be to not design. But you can “not design” in different ways. There are emerging discussions of using design's destructive potential to hinder, eliminate, “undesign” unwanted technologies and practices. In this paper we argue that informed and carefully crafted not-doings should also be considered valid and generative design acts. Through discussing a series of inaction-related design projects we propose the concept of design (in)actions. An (in)action is the informed, articulated and designerly decision to not act. Through the concept of “designer killjoy” we frame risks and stakes of such moves. We discuss how design inactivism – design (in)actions mobilised for activist ends – inform and develop current conceptualisations of design activism. Finally, we propose design (in)actions as a useful tactic for “gracious design”: more-than-human design moves characterised by forsaking human privilege through leaving be.
Extended Object Framework based on Weighted Exponential Products

Estimating the number of targets and their states is an important aspect of sensor fusion. In some applications, like autonomous driving, multiple measurements stem from extended targets because of multiple reflections from the target’s shape when using high resolution sensors like LiDAR or Radar. Multi-target tracking techniques using point based target assumptions are generally not suitable for these types of sensor measurements. In the last years, a number of techniques have been introduced which use a known shape or estimate the shape to retrieve the position of the object. In this paper we will introduce a novel approach without knowing/estimating the shape but using all the available information by fusing the measurements from one object with a conservative fusion technique based on the Weighted Exponential Product rule. The results show that we obtain similar performance to state-of-the-art approaches in our simulations.
Solar Irradiance Measurement for a Thermo-Electric Hybrid Solar System

The aim of this work is to measure the solar irradiance is a solar system. The solar system is a hybrid system, because it can produce heated water and electricity. The solar system is made of a solar concentrator with a parabola shape covered with hexagonal-shaped reflection mirrors. The solar collector is made around a TEG. The measurement of the solar irradiance is necessary in solar systems in order to rotate the solar panels in the direction of the Sun and also to make measurements to have logged data. With this logged data there can be made predictions, using statistics, how to make the most out of the low efficiency solar panels existing on the market.
Arab Pre-service Teachers’ Perspectives on the Role of ICT in Learning and beyond School

This study was necessitated by the paucity of the data on the role of information and communication technology (ICT) in the Arab education system in Israel. The study was conducted as a cross-sectional survey among novice students from the three Arab teacher training colleges. The aim of the survey was to examine whether students’ perceptions reflect the skills associated with the concepts of digital competence and higher order thinking skills (HOTS). Data were collected through the closed-item and mixed-item questionnaires. Open-ended items had also the purpose to examine participants’ reasoning skills. The results of the pilot showed good internal reliability for a closed-item questionnaire (α < 0.72) and for a mixed-item one (α < 0.76). Both quantitative and qualitative results suggested that the majority of participants understood the relevance of ICT to their learning and other areas of life and demonstrated safe and responsible use of ICT. The findings suggested that participants were less skilled in the areas of independent learning, teamwork, and developing creativity through digital tools. The results of this survey gathered baseline information for further investigations intended to examine pre-service teachers’ digital competence and develop intervention measures.
LightTouch

We present LightTouch, a passive gadget to enhance touch interactions on unmodified capacitive touchscreens. It simulates finger operations such as tapping, swiping, or multi-touch gestures using conductive materials and photoresistors embedded inside the objects. The touchscreen emits visible light and the photoresistor senses the level of this light, which changes its resistance value. By controlling the screen brightness, it connects or disconnects the path between the GND and the touchscreen, thus allowing the touch inputs to be controlled. In contrast to conventional physical extensions for touchscreens, our technique does not require continuous finger contact on the conductive part nor the use of batteries. Our technique opens up new possibilities for touch interaction such as for enhancing the trackability of tangibles beyond the simple automation of touch inputs.
A Fine-Granularity Image Pyramid Accelerator for Embedded Processors

Image-pyramid generator is an important component for many computer vision applications. Due to the complexity of image scaling operations, embedded application processors usually generate three- or four-level image pyramids for vision applications. In this paper, we present an image pyramid accelerator for embedded processors that generates image pyramids of up to 24-levels of down-sampled resolutions for the input image. Since image pyramids are crucial for the coarse-to-fine analysis of many computer vision problems, more resolution levels in the image pyramid can improve the parameter-estimation accuracy. Furthermore, the down-sampling filters used in the proposed design is based on a long-tap Sine-windowed Sinc function filter. Therefore, it preserves more image details than other low-complexity filters such as the bilinear or the bicubic interpolation filter. The proposed circuit is verified on an FPGA development board with a Xilinx Kintex-7 device and will be made open-source. The experimental results show that the design is very promising for real-time computer vision applications.
Who Owns the Blockchain? How Copyright Law Allows Right Holders to Control Blockchains

The lack of control by a single authority is an oft-described characteristic of blockchain technology. This article shows the extent to which US and EU copyright law protects information stored on a blockchain and the manner by which rights holders are able to control blockchains. While the two legal systems are almost identical in terms of protection of individual information stored on a blockchain, there are significant differences in the protection of the compilation of information. Because of the EU sui generis right for non-original databases, both the operator of a blockchain and participants in the blockchain network can have rights in the compilation of information stored on the blockchain. Therefore, they can both prevent acts necessary for the operation of a blockchain. Since this impedes the development and use, this article argues for an exception for acts that are necessary for the normal use of a blockchain.
The Impact of Microservices on the Evolution of a Software Product Line

Sharing a software product among multiple customers requires dealing with common and variable features. A Software Product Line approach may be used to manage these issues both during initial development and evolution. Many technologies can be used to implement a product line, and the micro services architectural style is a way to make the evolution process easier, since it can contain the impact of changes within smaller units, which are individually developed and deployed. Although this is an important subject, widely used in the industry, not many research papers investigate the impact of micro services in a real software product line, specially during evolution, when they are supposed to bring the most benefits. This research evaluated how the evolution of a software product line can benefit from the use of micro services. The study was based on a real software product line for the Enterprise Resource Planning domain, involving two versions of the product line: one without micro services, which was the original architecture and one with micro services, obtained after a migration from the original architecture to a micro services architecture. The results show that micro services brought benefits to the evolution of the software product line, but only in adaptive maintenance tasks. In evolutive tasks, where new services had to be created, the developers had to spend extra effort. The paper also describes some lessons learned during the migration. These may serve as guidance for researchers and practitioners interested in using micro services in a software product line.
Reflectance spectroscopy and ASTER imagery applied to unravel mineral assemblage as surface indicators of hydrocarbon micro-seepage in the region of Khuzestan oilfields, Iran

The present study makes an attempt to describe spectral characteristics of the surface features in some parts of the Khuzestan region, using reflectance spectroscopy and ASTER data related to the hydrocarbon micro-seepage in Maroun and Mansouri oil fields. The study involves surface sediment sampling with appropriate dispersion of the samples, and laboratory analysis in terms of sediment and mineralogy through spectroscopy analysis and geological map. Soil samples were collected from 45 and 20 locations points for Maroun and Mansouri oilfields, respectively. ASD-Fieldspec3 spectroradiometer and The Spectral Geologist (TSG) software were used to determine the hydrocarbon absorptions and their mineral constituents. Four classes were identified as hydrocarbon absorption ranges, i.e.: 1220–1320 and 1350–1550 nm indicating presence of light hydrocarbons; 1700–1750 and 2290–2360 nm pertaining to heavy hydrocarbons. Results suggest that Maroun oilfield samples have stronger absorptions in heavy hydrocarbons absorption but weaker for the Mansouri oilfield samples. The Mansouri samples have an acceptable absorption in light hydrocarbons absorption (1175 nm). Furthermore, these spectra were used as ground truth for creating mineral zonation maps using Spectral Angle Mapper (SAM) classification applied to ASTER data. The results also suggest that surface indicators of hydrocarbon are associated with alteration minerals such as kaolinite, siderite and goethite for the Maroun oilfield whereas Mansouri oilfield exhibits only kaolinite group of minerals. In addition, a comparison by reflectance between the contaminated and uncontaminated soil samples was also carried out.