Reviewerly/exHarmony huggingface dataset:
Toward real-time road detection for autonomous vehicles

Road detection is a vital task for autonomous vehicles, as it has a direct link to passengers’ safety. Given its importance, researchers aimed to improve its accuracy and robustness. We look at the task from a holistic point of view, where we aim to balance computation and accuracy. A multimodal road detection pipeline is proposed, which fuses the camera image with the preprocessed LIDAR input. First, the LIDAR input is preprocessed using three-dimensional models inspired from computer graphics to generate image-like representations. Then, the preprocessed LIDAR input is combined with the camera image using a fusion module named inputs cross-fusion module, to reduce the computation amount required by other fusion strategies. To prevent the accuracy loss caused by the computation gain, we introduce the surface normal information to add distinctiveness. Furthermore, we propose a cost/benefit metric to evaluate the trade-off between computation cost and accuracy of road detection approaches. Several tests were conducted using the KITTI road detection benchmark based on deep convolutional neural networks, the obtained results were considered very satisfactory. In particular, the robustness of the proposed approach resulted in accuracies higher than 95% on different road types, comparable to those of the state-of-the-art techniques. In addition to marginally reducing the inference time of the used DCNN on images with a resolution of 1248 × 352 pixels to 130 ms using an NVIDIA GTX-1080TI.
A Configuration User Interface for Multi-Cloud Storage Based on Secret Sharing : An Exploratory Design Study

Storing personal information in a secure and reliable manner may be crucial for organizational as well as private users. Encryption protects the confidentiality of data against adversaries but if t ...
Perancangan Media Kampanye Keselamatan Lalu Lintas Sejak Dini Melalui Program Transportasi Sehat Merakyat

Early traffic safety campaigns through populist healthy transportation is a government program mandated in Article 203 of Law 22/2009 concerning traffic and road transportation, aimed at reducing the density of traffic flow, minimizing accident rates in adolescents or since early, and reduce air pollution caused by motorized vehicles through populist healthy transportation, including Bikes to School, Walk to School, Bike to Work, and Walk to Work. The campaign was carried out based on police data which stated that school-age students accounted for the largest number of accidents and traffic congestion in Cimahi City. Objectiveity this campaign is to design a traffic safety campaign media early on through effective and efficient public transportation. The design of this data collection was using the Mix Method research method, which was conducting interviews with the Headquarters of the Cimahi Police Satlasa Task Force and Cimahi SMAN 1 students, also distributing questionnaires to Cimahi 1 High School students. The campaign program has not been maximally implemented, both in media and technical implementation, so that it has not been effective in reducing the level of traffic density and traffic accidents by students in Cimahi City.
A SLAM Method to Improve the Performance of Unmanned Vehicle

Intelligent vehicle infrastructure cooperative system is the latest development in intelligent transportation, and autonomous navigation technology is the key technology in the field of intelligent transportation. Research on SLAM is especially essential. However, it is difficult to establish an accurate priori noise model based on Kalman filter for SLAM algorithm. This paper proposes a fast SLAM algorithm based on the improved geese particle swarm optimization algorithm, which effectively improves the local part of the particle optimal and precocious problems. The algorithm of the geese group particle swarm optimization algorithm is improved, the position update formula is designed, and the geese position update is used instead of particle resampling to update the position of the unmanned vehicle. Through MATLAB simulation experiments and experiments with real datasets, the improved algorithm improves the accuracy of positioning and mapping compared with the standard PSO-FASTSLAM, and verifies the superiority of the algorithm.
DEVELOPING DELAY JITTER, THROUGHPUT, AND PACKAGE LOST: IPERF3 for Learning Islamic Education

Many providers offer the best Quality of Service. However, the offer is not always true in fact. Therefore, the purpose of this research is to know: (i) variation of delay that occurs, whether the greater the load of traffic provided will also affect the quality of jitter. (ii) the reliability of the packet to the destination (throughput) (iii) how reliable the technology is used in maintaining a packet for forwarding to investigate for learning Islamic Education by using mobile. The method used is to communicate directly with iperf.he.net server (216.218.227.10) for 30 seconds using some background traffic using iperf3 application. The experimental results are averaged and analyzed by comparing QoS of Jitter, Throughput, and Packet loss. From the experiment results it is known that scenario 2 (provider telkomsel) is the least delay and most stable according to TIPHON standard for learning Islamic Education by using mobile.
OPERATING SYSTEMS: PAST, PRESENT AND FUTURE

This article addresses some major aspects of operating systems (OSs) by looking at current OS developments and their future. Various hardware, such as desktops, laptops, smartphones and other devices on the market, have been analyzed in terms of: operating systems, development environment, programming languages, access to web-based training applications with different browsers, for to reach trends in the future development of operating systems - introduction of artificial intelligence, outsourcing of OSs functions in the cloud, security of work, convenience for interactive work with a computer, open source OSs projects.
A Recognition Method of Hand Gesture Based on Dual-SDAE

A gesture recognition method based on Dual-SDAE was proposed in this paper. In this method, one SDAE was constructed for the intensity information of gesture image, the other one was designed for the depth information of the gesture image. Then, with the conjunction on the outputs of the two networks, soft-max classifier was adopted to form the Dual-SDAE and used for gesture recognition. Besides, for a better understanding of the proposed method, the parameters’ influence were also analyzed, including the number of hidden layers, the number of nodes in each hidden layer, and the intensity of noise and the regularization term. In the experiments, by comparing with the traditional SAE network, DBN and CNN, the best performance was achieved by the proposed method whose accuracy on the ASL dataset is $$96.51\%$$ .
Principles and Constraints of Nonrigid Registration

Medical image registration refers to the process of determining the correspondence of anatomical or functional features between two or more images collected at different time points (serial image registration) or acquired as part of different sequences or imaging modalities (multi-modal image registration). Registration and fusion applications are proved to be of great help to the medical experts due to their contribution to the diagnostic procedure. The aim of this paper is to provide a solid theoretical review of the principles and constraints around non-rigid registration methodologies that are implemented in the medical field. The core components of these methodologies such as the similarity measures, the transformation models and the optimisation, interpolation and validation techniques are introduced and described.
PERANCANGAN GAME EDUKASI PENGENALAN PENGELOMPOKAN HEWAN BERDASARKAN MAKANAN BERBASIS ANDROID

Animal grouping can be done based on the type of food, grouping consists of herbivores, carnivores and omnivores. The purpose of this study is to design and approve an android-based educational game application, it is needed to assist students in learning that is managed or at home. In this game students can distinguish and match animals based on food. In the process of making this application, researchers used the waterfall method, in this installation, namely requerment, design, implementation, verification, and maintenance. To build the android application, researchers used supporting software, namely construct2. In the process of collecting data, researchers use the method of literature study, and interviews.
LibGuides: Faculty Information: Home

The details about new resources, requesting material for the collection, placing items on reserve, and other nuts and bolts information about Memorial Library for Berry College faculty.
Hate and Extremism on Telegram

Our focus at the moment is highlighting the alternative platforms that fash are flocking to. A lot of people are unaware of the kind of pro Hitler, pro ...
LibGuides at USA: Marx Library: COVID-19 FAQ: Returning and Renewing Materials

Here you find frequently asked questions related to:- Returning and Renewing Materials- Checking-Out materials- Finding Materials- Research Assistance- General Library Access- Using the McCall Library- Accessing Study spaces- Reservation
Attacking the Niederreiter-type cryptosystem based on rank metric

This paper deals with the Niederreiter cryptosystem based on Gabidulin codes which were solidly broken by Overbeck within polynomial time. In this paper, we first review the conditions under Overbeck's attack applications and then adjust corresponding parameters to target a high-security level. Since the permutation matrix and the scrambling matrix are used in Gabidulin codes, then the Frobenius matrices have too much structure to be hidden. By analysing the rank of the system matrix, we can find that choosing the matrix such that the dimension of the kernel of the public parity-check matrix greater than one will achieve a good result. In addition, we also show that bounding the rank of the distortion matrix is to enhance the security of the system. Finally, we give the security analysis of the modified Niederreiter type cryptosystem and demonstrate that it can resist structural and decoding attacks.
An analysis of reported phishing domains

As we become more digitalized and we rely more heavily on the internet, the more important it is to protect ourselves against phishing attacks and other types of internet frauds. Users who fall for ...
A Gamified Mobile Augmented Reality System for the Teaching of Astronomical Concepts

In this paper we present the first version of the PlanetarySystemGO project, an evolution of SolarSystemGO, a Mobile Augmented Reality game previously created with the Unity3D/ Vuforia game engine. While both projects aim at providing awareness of several Astronomy concepts, for PlanetarySystemGO a web based back-end system was implemented, developed under the. NET technology, that allows the instructor to manage several aspects of the game. Augmented Reality (AR) is a technology that elevates the possibilities of current Mobile Applications by superposing digital content to real world objects. The mobile devices that run these applications are increasingly powerful regarding their computational resources, allowing widespread adoption of the AR paradigms. The system presented can be enjoyed by players of all ages, but our main target are school children and young adults, as an application tool or even for learning purposes. A set of field tests was conducted, validating the presented design, and allowing continuous improvement of the system.
New Approach to Sentiment Polarity Detection by using ML Techniques

Sentiment analysis (SA) is a process of extracting the user’s feelings, emotions and verifying whether a user-generated text expresses neutral, positive or negative opinion about a product, people, topic or an event. The development of internet based applications has directed enormous measure of customized surveys for different related data on the Web. These reviews can be collected from various sources such as social media, social network, Wiki, forums, blogs, news and websites. As a result of the growing number of customer reviews, finding appropriate customer reviews will play important rule in reducing information overload. Sentiment Analysis is considered as one of the useful tool for users to extract the required data, as well as to aggregate the collective sentiments of the reviews. Because of rapid development of social media and Internet technologies, sentiment analysis has turned into an essential opinion mining technique. There are three noteworthy systems being utilized for sentiment analysis; Machine learning, dictionary based, and rule-based methodology. Each individual method is having some limitations. So in order to overcome these limitations in this paper we proposes an integrated framework which combines the above methods to achieve better scalability and accuracy.Keywords: Sentiment Analysis, Machine Learning, Text Summarization, Review Analysis, Opinion Mining
KONTRIBUSI DISIPLIN DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR KETERAMPILAN KOMPUTER DAN PENGELOLAAN INFORMASI (KKPI) SISWA

This study aims to reveal: 1) How much is the contribution of discipline to the learning outcomes of KKPI students in grade 1 at SMK 5 Seluma. 2) How big is the contribution of Motivation to the learning outcomes of KKPI students in grade 1 at Seluma 5ND VOCATIONAL SCHOOL, 3) There is a relationship of discipline and motivation towards learning outcomes in grade 1 students of SMK Negeri 5 Seluma. 4) How much does Discipline and Motivation contribute to KKPI learning outcomes for students in grade 1 at SMK 5 Seluma. This type of research is a descriptive study with an Ex-post facto approach. This descriptive research is correlational, which is the subject of research is grade 1 students in the field of Electronic Engineering 5 Seluma City Vocational School expertise totaling 78 students. The results of this study include: 1) There is a contribution from the discipline to the results of learning computer skills and information management (KKPI) Class I students at SMK Negeri 5 Seluma. Based on a series of data analysis shows that discipline (X1) to learning outcomes (Y) empirically has a significant contribution of = 78.90% (R2). 2) There is a contribution of learning motivation to the results of learning computer skills and information management (KKPI) Class I students at SMK Negeri 5 Seluma. Based on a series of data analysis shows that learning motivation (X2) on learning outcomes (Y) empirically has a significant effect of = 6.8% (R2). 3) There is a relationship of discipline and motivation to the results of learning Computer Skills and Information Management (KKPI) grade 1 students in SMK 5 Seluma by 89.6%. 4) There is a contribution of discipline and learning motivation to the learning outcomes of Computer Skills and Information Management (KKPI) grade 1 students at SMK 5 Seluma, obtained a correlation coefficient of = 0.896 with a coefficient of determination of = 0.803.
Info Guides: Non-Fiction: True Crime

Enjoy reading about real life? Here are some great picks. Tales of terror, detectives, and justice.
Outlines Around Targets in First Person Shooter Games and How They Affect Accuracy for Players

Background. Visualizations are used in games to help players find and complete objectives, such as shooting all enemies or finding the hidden treasure. Different methods to do this involve outlines ...
قياس أثر السياسة النقدية علي النشاط الإقتصادي في السودان

The main researchobjective was to estimate the impact of monetary policy on economic activity in the Sudan during the period 1960 - 2016. The hypotheses were that there is positive relationship between money supply as one of specific targets of monetary policy and the GDP as well as there is positive relationship between the US dollar exchange rate in Sudanese pounds and the GDP. Using the econometric analysis method namely, the OLS method. Through applying Eviews Computer program to the quantitative data of the model variables that collected from secondary sources, the research has reached the following important conclusion: That the relationship between money supply and the exchange rate of the US dollar against the Sudanese pound in one hand and the GDP during the research period made monetary policy ineffective. One of the most important recommendations of the research was the need to pay attention to increase GDP growth rates through economic reforms aimed at increasing productivity and encouraging producers to achieve economic stability.
The Agile Project Manager : How the role of the traditional project manager changes when adopting agile methods and how the project manager can contribute to a successful use of an agile approach

Agile methods have been proven successful for handling the increased needs for embracing change and reducing time-to-market in order for companies to stay competitive. But, the use of an agile appr ...
Quantum Lyapunov-based unified control method and verification of simulation experiments

A Lyapunov-based unified control method for closed quantum systems is proposed, which can transfer the state of closed quantum system from any initial state to any desired target state. In particular, the proposed control method can work under the conditions that free Hamiltonian of the non-ideal quantum system is not strongly regular, and (or) the Hamiltonian is not fully connected. The simulation experiments of the state transition control between different states of three, four and five qubit systems are carried out to verify that the proposed control method is suitable for all kinds of non-ideal quantum systems and the advantages of Lyapunov-based unified control method. The design process of the proposed method, the calculation process of each parameter in each experiment and the analysis of each experimental result are given in detail.
A Study on the Services Motivating Instructional Designers in Higher Education to Engage in Professional Associations

The purpose of this research was to identify the professional association services relevant to instructional design professionals working in institutions of higher education. A conceptual framework connecting professional association services to the existing research on the leadership, career development, and networking of instructional designers in higher education is provided. Based on this conceptual framework and an existing instrument, we provide the design, development, and adjustment of a survey to measure professional association services relevant to instructional designers in higher education; and provide the preliminary validity and reliability evidence of this survey on an administration with N = 217 instructional designers working in higher education. We titled this survey the Instructional Designer in Higher Education Professional Association Survey (IDHEPAS). The cross-sectional data were analyzed using exploratory factor analysis, descriptive statistics, internal consistency reliability, and correlation analyses. The analyses resulted in eight internally consistent factors explaining approximately 71% of the variability in these data: 1) Professional networking services, 2) Growth and advocacy services, 3) Professional communication services, 4) Ancillary discount services, 5) Leadership and mentoring services, 6) Relevant literature services, 7) Training and credentialing services, and 8) Vendor and continuing education services. These findings are discussed in detail, and recommendations for future research and practice are provided. The IDHEPAS was found to be a sound measurement tool for the stated purpose.
An Advanced Actor-Critic Algorithm for Training Video Game AI

This paper presents an improved deep reinforcement learning (DRL) algorithm, namely Advanced Actor Critic (AAC), which is based on Actor Critic (AC) algorithm, to the video game Artificial intelligence (AI) training. The advantage distribution estimator, Normal Constraint (NC) function and exploration based on confidence are introduced to improve the AC algorithm, in order to achieve accurate value estimate, select continuous spatial action correctly, and explorate effectively. The aim is to improve the performance of conventional AC algorithm in a complex environment. A case study of video game StarCraft II mini-game AI training is employed. The results verify that the improved algorithm effectively improves the performance in terms of the convergence rate, maximum reward, average reward in every 100 episode, and time to reach a specific reward, etc. The analysis on how these modifications improve the performance is also given through interpretation of the feature layers in the mini-games.
Data Encryption and Decryption by Using Hill Cipher Algorithm

The core of Hill-cipher is matrix manipulations.It is a multi-letter cipher, for decryption the inverse of matrix requires and inverse of the matrix doesn't always exist.Then if the matrix is not invertible then encrypted text cannot be decrypted.However, a drawback of this algorithm is overcome by use of self-repetitive matrix.This matrix if multiplied with itself for a given mod value (i.e.mod value of the matrix is taken after every multiplication) will eventually result in an identity matrix after N multiplications.So, after N+ 1 multiplication the matrix will repeat itself.Hence, it derives its name i.e. self-repetitive matrix.It should be non-singular square matrix.
Analyzing the Implementation of the Agile Methodology in a Mechanical Engineering Senior Design Course

As major companies transition to an Agile development methodology it is crucial that mechanical engineering students learn this process before they enter the workforce. In order to prepare students, The University of Vermont’s Mechanical Engineering Senior Design course has implemented an Scrum methodology into its curriculum. This study will look at its implementation and analyze student perceptions after working with Scrum on their senior design projects. Student surveys showed strong support for implementing the Agile methodology, while peer and client feedback maintained a high rating from 2018. In addition, recommendations for future implementation will also be provided.
Influencers personliga varumärke : En kvalitativ studie om hur influencers personliga varumärke byggs upp

The am of the study was to describe how influencers can build a personal brand on social media. The main question is, How can an influencer's personal brand be built up? Based on a review of prev ...
Reflections on probabilistic compared to quantum computational devices

In this article, we underline and compare different quantum and deterministic models of computation by means of a probabilistic point of view. The main models used for this are deterministic, probabilistic and quantum Turing machines (DTM, PTM and QTM, respectively). Then we suggest that extending PTM with only part of quantum features is not useful to implement real quantum supremacy if we don’t incorporate them fully. This is done reviewing some notorious quantum physical experiments and quantum algorithms, showing that generally PTM does not fit for them, also if in some particular cases it fits.Here we compare probabilistic and quantum models of computation to underline some common features and differences.