Reviewerly/exHarmony huggingface dataset:
Where in the world is the internet

research-article Share on Where in the world is the internet: a law student's worst nightmare Author: Johanna Blumenthal Regis University, Denver, Colorado Regis University, Denver, ColoradoView Profile Authors Info & Claims ACM SIGCAS Computers and SocietyVolume 50Issue 1April 2021 pp 12–14https://doi.org/10.1145/3470834.3470838Online:14 June 2021Publication History 0citation19DownloadsMetricsTotal Citations0Total Downloads19Last 12 Months11Last 6 weeks1 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 Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
WITHDRAWN: Ecofriendly enhancement of engine performance using biofuel palm stearin

Biodiesel is the best solution since it is a dependable and sustainable source of energy. Palm-stearin oil is a significant biodiesel source with a low environmental impact. Dual fueling is an effective method for improving engine performance while lowering emissions. With this context and foresight, propane was mixed with air at different liters per minute (lpm) to boost the emission and performance operation of a diesel engine using Palm-stearin Biodiesel as the primary fuel (PSBD). The study looked at performance parameters like BSFC and BTE, as well as pollution parameters like HC, CO, NOx, and Smoke, which were calculated under various conditions with different intake propane rates with PSBD and compared to diesel. The addition of propane at 6 lpm reduced HC by 0.04 g/kW-hr, CO by 0.5 g/kW-hr, and smoke emissions by 0.4 BSU at all BPs compared to neat PSBD with a higher NO of 0.9 g/kW-hr. The inclusion of propane also improved performance trends, such as a 0.06 kg/kW-h drop in BSFC and a 0.7 percent rise in BTE for PSBD. The addition of propane with PSBD at 6 lpm improves CI ignition trends.
Identifying Achievable Goals for Adaptive Replanning Against Runtime Environment Change

In automated planning, a plan is synthesized to achieve the given goals in the assumed operational environment. However, during the plan’s execution, the operational environment may changes so that replanning a new plan is necessary against the changing environment. In some situations, it is impossible to achieve some goals anyhow; in other situations, a new plan can achieve the main goals if it chooses to give up some subsidiary goals. Therefore, the ability of goal-awareness is essential to determine which goals to achieve in the new plan. This paper proposes an efficient analysis algorithm to identify the achievability and conflicts of reachability goals and safety goals. The algorithm reuses the existing analysis result and efficiently analyzes only the part that changes when unforeseen change happens in the environment. This time-saving feature makes our algorithm ideal for rapid response and replanning during the plan’s execution. We evaluated the absolute computation time and relative reduction rate through two case studies. The result shows that our analysis algorithm averagely reduces 97.8% of the calculation time, compared with analyzing without reusing existing analysis results.
A Solution Framework for All-to-All Comparison Data Distribution Strategy Based on Tabu Search

All-to-All Comparison (ATAC) is a key computing mode to improve computing performance and is applied in many disciplines. Through the research on the data distribution strategy of the ATAC calculation, a novel solution framework of the ATAC data distribution strategy based on tabu search is proposed for the first time. An ATAC data distribution model is constructed, and the related algorithms of the model are designed based on the tabu search, and it is implemented on MATLAB. The framework consists of three parts: 1) the driver module responsible for interacting with users; 2) the load balancing module that solves the data distribution strategy that meets the load balancing situation; 3) the storage optimization module that solves the data distribution strategy that meets the load balancing and optimized storage. Experiments prove that the framework for solving the ATAC data distribution strategy based on tabu search has the following advantages: A) The data distribution strategy obtained by the framework enables the nodes of the distributed system participating in the ATAC calculation to achieve load balancing and complete data localization. B) The data distribution scheme can reduce 40%-50% of the storage space in the distributed system. C) The framework is more advanced than the existing ATAC data distribution algorithm in calculation speed.
Real-Time Object Detection based on Divergent Activation

Abstract Object detection is a research hotspot in the field of computer vision and has significant research value in the fields e.g. human-computer interaction, video surveillance, automatic driving, face recognition, medical imaging and etc. This paper proposes a novel real-time object detection algorithm based on YOLOv2 and divergent activation which aims to extract semantically complementary and discriminative features. The introduced divergent activation mechanism can be divided into differential divergent activation and hierarchical divergent activation that obtains the spatial complementary features by fusing different spatial distribution information of objects at the same level and activates a complete range of objects by fusing complementary semantics of objects from different levels, respectively. Experimental results on PASCAL VOC2007 and PASCAL VOC2012 show that our proposed algorithm reached 81.0% on mean average precision(mAP), indicating the effectiveness of the proposed algorithm.
Suppression criteria for inaccurate estimates

Statistical offices regularly decide at what level of aggregation to publish results of their data collection. These decisions are typically driven by two separate concerns: first, they do not want to publish estimates with large amounts of uncertainty; second, they do not want to provide potentially-identifying information that could disclose an individual person or company. This article focuses on the first concern, when are data so uncertain that an agency should not publish the results? We focus on policies adopted by 16 statistical offices around the world.
Trajectory Control of Mobile Robot Based on Novel Gesture Detection

In order to achieve accurate gesture control, a gesture detection module is designed based on the infrared obstacle avoidance module array, and the robot gesture trajectory control is studied. AT89S52 single chip microcomputer is used as the upper computer to complete the collection and recognition of gesture motion through gesture detection module, which sends the processed moving target vector of the robot to the lower computer MCU STC89C52 through HC-12 wireless module, and then the operation of the mobile robot is controlled by L298N. The experimental results show that the system has high gesture recognition rate, and the mobile robot can run stably under the given trajectory of gesture, which verifies the practicability of the gesture detection module design and the effectiveness of the control system.
An End-to-End Multispectral Image Compression Network Based on Weighted Channels

For the spectral correlation of multispectral images, a novel compression framework, named an end-to-end multispectral image compression network based on weighted channels, is proposed. The framework consists of a forward coding network, a quantizer and an inverse decoding network. The multispectral images are fed into the forward coding network, which is composed of the residual block based on weighted channels, to obtain intermediate features based on weighted channels. The intermediate features are quantized and encoded by the quantizer and the entropy encoder to obtain the compressed code stream. The compressed code stream passes through the entropy decoder and the inverse decoding network, which is symmetric to the forward coding network, to reconstruct multispectral images. The results validate that the proposed network shows better performance compared to JPEG2000 and JPEG.
Text Clustering Techniques for Voice of Customer Analysis

A comprehensive analysis of customers is very vital for any organization for customer enlightenment. However, conventional methods are not effective in analyzing customers concerns particularly when it is online. Data generated online is extremely complicated because of its unstructured behavior, and the data set in this format is often complex and very difficult to evaluate its overall model. Further, the application of conventional methods remains monotonous as many emerging techniques are proposed by the researchers, but the most effective approach will remain thought-provoking. In this paper, we introduce effective methods to analyze customer concerns with a computational approach that perfectly apply text clustering techniques. An effective clustering technique can be applied to a large set of unstructured data since online data often contain huge amount of noise, and we will discuss different text clustering techniques to evaluate and analyze the method of text extraction from customer statements mainly on Web and social media for customer analysis.
Augmented reality-based student’s worksheets on algebra word problems

Abstract Students working on a word problem sometimes missed the answer for some reasons. The most common reason is that the students misinterpreted the question. Word problems sometimes mention a vocabulary that is somewhat difficult to define by the students. Besides, word problems, especially algebra word problems, are not easy to be visualised because the comparative vocabularies used are confusing for some students. As a result, they end up with incorrect conclusions instead. As such, this study aims to create augmented reality-based student’s worksheets to assist the students to visualise algebra word problems using animations. This is a design and development study, which consists five stages. The first stage is investigating students’ needs (amid covid-19 pandemic in particular). After that, the augmented reality-based student’s worksheets are designed by considering the investigating result. Next, the worksheets are constructed before being tested and evaluated. Based on the evaluation, the worksheets are revised then finally it is ready to be implemented. The recent progress of the research is that the augmented reality-based student’s worksheets has been revised and ready to be implemented. The worksheets allow students to study from home by scanning codes using their devices (android smartphones are advised) then video animations will appear and explain the algebra word problems they are working on.
Constrained Generalized Additive 2 Model With Consideration of High-Order Interactions

In recent years, machine learning and AI have been introduced in many industrial fields. In fields such as finance, medicine, and autonomous driving, where the inference results of a model may have serious consequences, high interpretability, as well as prediction accuracy is required. In this study, we propose Constrained Generalized Additive 2 Model plus (CGA <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> M+), which is based on the Generalized Additive 2 Model (GA <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> M) and differs from it in two major points. The first is the introduction of monotonicity. Enforcing monotonicity constraints on some features using an analyst's knowledge, is expected to improve not only interpretability but also generalization performance. The second is the introduction of a higher-order term: given that GA2M considers only up to second-order interactions, we introduce a higher-order term, which can capture higher-order interactions and improve prediction performance. In this process, the higher-order term does not reduce interpretability by applying our training method. Numerical experiments showed that the proposed model has high prediction accuracy and interpretability. Furthermore, we confirmed that generalization performance is improved by imposing monotonicity constraints.
Playtime - based vs Price-based Rating in Video Games Recommender System

Recommender System in one of the solutions to filter information presented to user to avoid information overloading. On video games e-commerce platform, recommender system was implemented make time taken to choose games to buy and play relatively shorter. Researches about video recommender system mostly focused on duration of playtime to predict user preferences towards certain games. In this paper we proposed to broaden the parameters by including price-based rating. Video games recommender system is developed, and price-based ratings were feed into the recommender system to see the impact of the rating on the recommender system performance. Experiments to compare recommender system performance using playtime-based rating and price-based rating were executed and it is found that in terms of rating prediction, playtime-based rating shows better performance but in terms of hit rate, price-based is better.
Impact of an Infrastructure Development Policy on Health, Poverty &amp; Crime Actions in Indonesia (Case Study in Majalengka District)

With the construction of toll roads, the welfare of the people in the area has also changed. Toll road infrastructure plays a very important role in supporting the economy, social, culture, unity, and dynamics of community life. Majalengka Regency is one of the areas affected by the construction of the Cipali Toll Road (Cikampek-Palimanan). The results showed that in 2014, the life expectancy at birth in Majalengka Regency was only 68.66 years, and in 2019 it had reached 69.97 years. 85.43 percent of households live in their own houses, the remaining 14.57 percent of households live in houses that are not their own. When viewed at a glance, the percentage of own homeownership status in the 2018-2019 period, it can be seen that the percentage of the population who live in their own homes has increased by around 7 percent. The poor population in Majalengka Regency in total showed a downward trend during the 2015-2019 period (a condition in March). In 2015, the number of poor people was 167.50 thousand people or 14.19 percent of the total population of Majalengka Regency. In the 2019 period, the population who became victims of crime continued to experience a decline by 0.72 points to 0.88 percent compared to 2018 which reached 1.60.
CONCEPTUAL GUIDELINES OF TEACHING MATHEMATICS IN THE 1ST GRADE OF A GENERAL EDUCATION SCHOOL

Преподавание математики, начиная с начальной школы, должно отражать общемировые тенденции развития математической и педагогической научной мысли и представлять собой проекцию математической науки на школьное обучение. Авторы разрабатывают направления обучения математике в 1-м классе на основании Федерального государственного образовательного стандарта с учетом разбиений на элементы знаний. На основании этого описывается структура и формирование содержания разрабатываемого учебника по главам. Теоретическая часть должна позволять учащимся получать ответы на контрольные вопросы, помогать решать одновариантные и многовариантные тесты, задачи и упражнения. Определяемые авторами концептуальные направления обучения математике в 1-м классе обеспечивают формирование фундамента вертикали математического образования в 11-х классах общеобразовательной школы. The teaching of mathematics should reflect the global trends in the development of mathematical and pedagogical scientific thoughts. The authors develop guidelines of studying mathematics in the 1st grade on the basis of the Federal State Educational Standard, taking into account the partitions into knowledge elements. Thus, the structure and the formation of the being developed textbook content by chapters are described. The theoretical part should allow to students to get answers to control questions, univariate and multivariate tests, problems and exercises. Each chapter of the being developed textbook is divided into paragraphs, each paragraph is divided into items. One item of theoretical material contains either one new idea to study, or a set of interrelated concepts that define one new idea to study. According to this it is possible to form the mathematical knowledge trajectories. So, there are broad opportunities to transform knowledge elements into multimedia forms, including presentations, videos, test modules and other newly emerging means of representation and visualization, using the achievements of artificial intelligence. There can be defined such main directions as natural numbers counting, acquaintance with geometric shapes, comparison of objects in the value and quantity, acquaintance with a squared paper and measurement standards, the study of objects position, the sets consideration, introduction to the algorithm concept. The conceptual directions of teaching mathematics in the 1st grade determined by the authors provide the foundation for the vertical of mathematical education in the 1–11th grades of general education schools.
Blockchain Technologies for Securing IoT Infrastructure: IoT-Blockchain Architectonics

In recent times, Blockchain has drawn significant academic attention beyond the financial industry in research fields, of which IoT is one. Several pieces of literature combining Blockchain technology with IoT were released recently but are restricted to shallow technological potential discussions, and very few of them provide an in-depth look at the complexities of implementing Blockchain technology for IoT at a technical level. The work examines the recent scientific studies in Blockchain-based applications using the approach of system design and clarifies critical areas of research that enable the Blockchain technology to ensure safety. In this respect, the Blockchain can be incorporated to build a decentralized, reliable, and safe environment for IoT, and in this work, the author wants the current cutting-edge efforts in this direction to be shaped coherently and comprehensively. This research started with the core concepts of Blockchain and how Blockchain-based frameworks accomplish decentralization, transparency, and auditable characteristics. In particular, this work introduced IoT briefly and elaborated on the issues of IoT. Then it has given a view of Blockchain technology. The work would then concentrate on IoT and Blockchain integration and introduce the Blockchain-aware IoT architecture. From here, the work draws on the challenges and issues of the centralized IoT ecosystems, followed by the current advances in research and industry to resolve these challenges and issues utilizing Blockchain technology effectively to ensure a decentralized, secured IoT media.
The Effect of the Peer Review of Team Contribution on Students’ Teamwork Competency during PBL Program

Project-based-Learning is expected to promote students’ teamwork competency. Previous study proposed an instructional method with the peer review of team contribution; however, its effectiveness on teamwork competency was not examined. Therefore, the current study examined whether the instructional method with the peer review of team contribution promotes individuals’ team competency. We provided the instructional method for three classes and ordinary PBL program for the other three classes of freshmen, in which a questionnaire survey has been conducted at the beginning and ending part of the program. The results showed that a part of students’ teamwork competency was promoted through the program, but the peer review decreased students’ fairly response to the other team members.
A Suggestion-Based Interaction System for Spacecraft Design in Augmented Reality

Designing interaction for Augmented Reality assembly applications is a challenging task. Hand based interaction metaphors supported by modern AR Head Mounted Displays are not always intuitive and may cause fatigue with prolonged use. This problem can be addressed by considering context knowledge of the assembly task for which the AR application is developed. Integrating context knowledge in the interaction may not only help user to interact faster but also lead towards an optimum assembly. In this paper, we present an adaptable constraints- based interaction system that assists users in interacting with virtual components in AR assembly applications. We demonstrate our interaction system with a spacecraft design use case in which users virtually assemble the components of a spacecraft. It combines constraint-based interaction with a suggestion mechanism. The constraints are defined by a set of rules built into the application which enforce self-consistency by defining the inter-relationships of the components leading to an optimum configuration. Our interface provides users with the freedom to move the components around, but prevents movements that are not in accordance with the defined rules. In addition to the constraints, it also suggests the optimum location for a component in the spacecraft based upon an optimization criteria. In the end, we evaluate our suggestion system through a user study. Our results indicate that optimized suggestions are time efficient, easy to use and a preferred choice of the users.
Optimizing Mobility of Robotic Arms in Collision-free Motion Planning

Abstract A major task in motion planning is to find paths that have a high ability to react to external influences while ensuring a collision-free operation at any time. This flexibility is even more important in human-robot collaboration since unforeseen events can occur anytime. Such ability can be described as mobility, which is composed of two characteristics. First, the ability to manipulate, and second, the distance to joint limits. This mobility needs to be optimized while generating collision-free motions so that there is always the flexibility of the robot to evade dynamic obstacles in the future execution of generated paths. For this purpose, we present a Rapidly-exploring Random Tree (RRT), which applies additional costs and sampling methods to increase mobility. Additionally, we present two methods for the optimization of a generated path. Our first approach utilizes the built-in capabilities of the RRT*. The second method optimize the path with the stochastic trajectory optimization for motion planning (STOMP) approach with Gaussian Mixture Models. Moreover, we evaluate the algorithms in complex simulation and real environments and demonstrate an enhancement of mobility.
Application Aspects and Organization of Dependable Software Reuse

The terms and primary concepts of reuse have been introduced, discussed, and exemplified at the end of the last chapter. The present chapter will review aspects of application, architecture and organization, and assurance and legal issues of reuse, based on IEC/PAS 62814 [].