Reviewerly/exHarmony huggingface dataset:
Sistem Informasi Pengangkutan Pupuk Menggunakan Metode Waterfall (Studi Kasus PT. Pupuk Iskandar Muda, Aceh Utara)

Information systems are a set of elements that are interconnected with each other and work together to achieve a goal so that they can integrate data, process and store and distribute information. Fertilizer transportation information system at PT. Pupuk Iskandar Muda makes the processing of fertilizer transportation and transaction data become computerized which is equipped with features to create reports and can display recapitulations and visualizations in the form of graphs of total transactions. Through this system, warehouse, fertilizer, transportation and fertilizer supply data processing can also be carried out. Total transportation in 2019 from 01-01-2019 to 31-12- 2019 Total 26 times, with a total transported of 42 tons, 5 units of transporters, and a total payment of Rp. 73,350,000Keywords: abstract keywords.
Multi-Modal Authentication Using Machine Learning Algorithm

In the present era of information technology, there is a need to implement verification and approval strategies for security of resources. Whereas, there are number of approaches to demonstrate validation and approval, yet the biometric verification beat every other method. At first, biometrics began off with straightforward unimodal framework, the higher requirement for security had offered ascend to a prevalent framework known as multimodal verification framework. Multimodal verification confirmation has pulled in compelling interest, on account of its hugeness towards the constant application In this research proposal, an effective framework for multimodal verification authentication systems based on machine learning algorithm is employed.
CT Liver Image Enhancement using Spatial Filters

Picture upgrade is utilized to improve the picture quality. Picture improvement should be possible utilizing spatial domain and frequency domain. In spatial domain, picture upgrade should be possible utilizing point tasks, veil activities, and sifting. In frequency domain, the info picture is changed over to frequency domain by utilizing diverse changes and handling will be done in frequency domain. Then the frequency domain image will be converted to spatial domain. In this paper, we have discussed various filtering techniques used to enhance the CT liver image.
Automated Teller Machine System

Because of the trouble and limit, cryptography to a cloud is to be a standout amongst the best properties for huge information stockpiling and access. Anyway confirming the entrance authenticity of a client and safely refreshing cryptography in the cloud dependent on another entrance approach chosen by the information proprietor are likewise basic difficulties to make cloud-based enormous information stockpiling down to earth and dynamic. In this paper, we propose a safe and access control dependent on NTRU cryptosystem for huge information. Our procedure enables the cloud server to productively refresh the cryptography when another entrance arrangement is distinguished by the information proprietor, who is additionally ready to confirm the update to counter against duping practices of the cloud. It conjointly allows the information proprietor and qualified clients to successfully confirm the authenticity of a client for getting to the information, and a client to approve the data given by various clients to legitimate plaintext recuperation
Correlative Analysis of EZW and SPIHT Compression Algorithms using Sevenlets Wavelet Technique

The research is carried out to find wavelets in image processing of CT(computerized Tomography) JPEG(Joint Photographic Experts Group) medical image for a Lossy Compression. The EZW(Embedded Zerotree Wavelet) and SPIHT(Set Partitioning Hierarchical Trees) algorithms method is implemented to identify the quality of image by DWT(Discrete Wavelet Transform). Quality analysis is processed based on parameters measure such as CR(Compression Ratio), BPP(Bits Per Pixel), PSNR( Peak Signal to Noise Ratio) and MSE(Mean Square Error). Comparison is made to justify having a good image retaining for seven wavelets, how they correlation each other. Using seven wavelets as assigned a new term Sevenlets in this research work. Medical images are very significant to retain exact image with minimizing loss of information at retrieving. The algorithms EZW and SPIHT give better support to wavelets for compression analysis, can be used to diagnosis analysis to have better perception of image corrective measure.
Text Similarity and Clustering

In the previous chapters, we covered several techniques to analyze text and extract interesting insights. We looked at supervised machine learning techniques, which are used to categorize text documents into several assumed categories. Unsupervised techniques like topic models and document summarization were also covered, which involved trying to retrieve key themes and information from large text documents and corpora.
A Peruse on Feature Specific: Quality Prediction of Product using Opinion Mining

The field of sentiment analysis, in which the sentiments of the text are collected, analyzed and compiled, has received much attention in recent years. The corresponding growth in this area has led to the emergence of different sub-regions, each of which relates to a different level of analysis or research. This research focuses on the analysis of feelings at his level, with the aim of finding and adding feelings in the entities mentioned in the documents or aspects thereof. An in-depth overview is given of the newest current developments, illustrating the enormous progress that has already been made to find both the purpose that an entity can be as such, or some aspects of it, and the associated sentimentity. Sentiment analysis has received much attention in recent years. In this article, our goal is to address the problem of classifying the polarity of feelings, one of the fundamental problems of sentiment analysis. A general process is proposed to classify the polarity of feelings with a detailed description of the process. The data used in this study are reviews of online products collected through Amazon.com. Experiments are performed both for the classification at the prayer level and for the classification at the revision level with promising results. Finally, we also provide information about our future work in the analysis of sentiments.
Graduate Programs in Learning, Design, Technology, Information, or Libraries

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Linked Lists

One problem with the Vector class is the time it takes to add an element: O(N), where N is the number of elements already in the Vector.
Constant temperature control system for indoor environment of buildings based on internet of things

In order to improve the stability of constant temperature control for indoor environment of buildings, a design method of constant temperature optimisation control system for buildings' indoor environment based on internet of things (IoT) is proposed. The system design is divided into two parts – the control algorithm design and the hardware structure design of the control system – to conduct the overall design framework analysis and functional component analysis of indoor environment constant temperature control system. The time-delay feedback error compensation method is adopted to optimise the design for temperature control law for indoor environment of buildings. The test results show that the minimum root-mean-square error of the designed constant temperature control system is 0.021, which significantly reduces the temperature error of the constant temperature control system, indicating that the system has good temperature output stability, strong adaptive adjustment ability and effectively improves the constant temperature control ability of indoor environment.
A path to increasing Geological knowledge

&amp;lt;p&amp;gt;This is a subject that I work on in 2nd of ESO. The subject&amp;amp;#8217;s objectives are;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Asking about diferent geological contents or others t&amp;amp;#242;pics&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Learning to sequence the tasks in a research&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Learning to work deductively, thoughtfully and competently&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Learning to work cooperatively&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Learning to know to do oral presentation using digital sources and handing-on demostrations&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;-Finally achieving scientific knowledge.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In order to achieve these goals:&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;1. I make groups of 4 students.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;2. I give a little colour box to each group ( nobody knows what is inside the box).Inside each box, there are differents things like: diferents types of rocks,sand, w&amp;amp;#224;ter, f&amp;amp;#242;ssils,a picture of a landscape, geological structures,...&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;3. Each Student has to think 5 questions about the object of the box.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;4. After that, every group decides which question wants to do the research about.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;5. Five-six days after. The students have to write a litle piece of work about their research, they have to make a poster using a thinking routine ( Roda de la indagaci&amp;amp;#243;), there we can see the proc&amp;amp;#233;s of the research.Finally the students explain to the others students their research. Everybody learn for each other.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;It&amp;amp;#8217;s an interesting activity, the evaluation of this is very satisfactory. The students are actively involved in their learning, their knowledge and the procedure for acquiring them&amp;amp;#160;&amp;lt;/p&amp;gt;
Interactive comment on “Mātauranga Māori in geomorphology: existing frameworks, case studies and recommendations for Earth scientists” by Clare Wilkinson et al.

This paper is a very useful review and analysis of bicultural research, with recommendations on how to better incorporate Indigenous knowledge (Matauranga Maori) in the science of geomorphology or in describing geomorphic processes.The paper should be accepted for publication, but with careful consideration of the following issues or suggestions for a moderate revision.The title of the paper refers to "Matauranga Maori in geomorphology" or in other words the Knowledge held by Maori in the science of geomorphology or geomorphic processes.
FCM: a component-based platform with explicit support of crosscutting and dynamic features

Dealing with crosscutting and dynamic features in component software is a longstanding problem primarily due to the nature of used components: components may be available only as black box software units and their implementations may be protected against alteration. Aspect-orientation provides a valuable means to deal with crosscutting features in different paradigms. Unfortunately, existing endeavours to integrate aspects into component software have several limitations such as the lack of suitable design of aspects and the absence of proper aspect runtime weaving mechanisms. This paper proposes a new component platform to tackle these limitations. In the proposed platform, components and aspects are first-class entities that remain separated from design to implementation. In addition, aspects can be added and removed at runtime. We developed a tool support for the platform in Java. The viability of our proposal is validated through the development of an Airport Wireless Access as a case study.
Two-way distributed sequential pattern mining using fruit fly algorithm along with Hadoop and map reduce framework

Data mining is an effective tool used to take out information from big data as it provides several benefits to conquer the restrictions in it. In this paper, we present an innovative procedure developed using an updown directed acyclic graph (UDDAG) with fruit fly optimisation algorithm (FFOA), which is based on sequential pattern (SP) mining algorithm. In this work, the distributed sequential model mining algorithm is used to diminish the scanning time and scalability and the transferred database is employed to optimise the memory storage. The proposed method is used to expand the sequences in both the ends (prefixes and suffixes) of the identified model thereby supplying the consequences in quicker model expansion resulting in fewer database projections when compared to conventional methods. Our proposed method is implemented in Hadoop distributed surroundings to resolve the scalability issues and executed on JAVA platform using big datasets with Hadoop and map reduce framework.
Compositional Behavioral Modeling of Analog Neural Networks

He is the author of 31 books, including several on computer security, forensics, and cryptography.His books are used at over 60 universities.He has also authored scientific papers (over 70 so far) on digital forensics, machine learning/AI, cyber warfare, cryptography, bio-engineering, and applied mathematics.He is an inventor with 22 computer science patents.He holds a Doctor of Science (D.Sc
Announcement of the essay competition for 2021

International Journal of Modern Physics DVol. 29, No. 14, 2082001 (2020) AnnouncementNo AccessAnnouncement of the essay competition for 2021https://doi.org/10.1142/S0218271820820015Cited by:0 Previous This article is part of the issue: SPECIAL ISSUE — Selected Essays from the Annual Essay Competition of the Gravity Research Foundation 2020 and Invited Papers Dedicated to John D. Barrow (1952–2020)Editor: D. V. Ahluwalia AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail You currently do not have access to the full text article. Recommend the journal to your library today! FiguresReferencesRelatedDetails Recommended Vol. 29, No. 14 Metrics History PDF download
String Matching and Finger Printing

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Performance of Median Filter and its Variants for the Preprocessing of Mammilla Cancer Imagery

This paper presents a comparison of the Median Filter and its variants that are used for the preprocessing of mammilla cancer images in Medical Imaging. Preprocessing of mammilla cancer images is a very important step in their accurate espial. Median filters and its other versions such as Adaptive Median Filter, Progressive Switching Median Filter, and Relaxed Median Filter are applied on a dataset of open source mammilla cancer images for their preprocessing. Their perpetration is compared based on various performance metrics and it’s inferred that the Relaxed Median Filter outperforms the performance of the other Median Filters used.
A Fuzzy Logic Adaptive Image Resize (Resolution) Level using Cross-Layering in Wireless Multimedia Sensor Networks

The increasing interest in wireless sensor networks with the rapid growth in micro-electronics technology has made it possible to deliver multimedia content over Wireless Multimedia Sensor Networks (WMSNs).There are several main peculiarities that make the delivery of multimedia content over WMSN challenging.Most of these are due to the processing, timing, and other quality of service requirements.Furthermore, WMSNs are susceptible to rapid degradation since they deal with large amount of data that require processing and transmission power.The traditional protocol stack architectures were designed to follow a strictly layered approach that may not support the essential requirements of these networks.In order to overcome the challenges posed by the limited bandwidth and resources associated with WMSN, the integration of functionality between different layers should be exploited.In this paper, a cross-layer design approach is proposed to overcome such challenges.In the proposed approach, the concept of cross-layering and fuzzy logic have been exploited to monitor the network conditions and control the amount of the multimedia data in order to utilize the available resources efficiently and improve the applications quality of service (QoS).The simulation results have shown better resource utilization, stability, and fairness in quality metrics consideration.The proposed approach has shown to be efficient compared to the conventional scheme in terms of bandwidth utilization, power consumption, delay, loss, and images quality.Moreover, the proposed approach has proved its efficiency compared to other adaptive methods especially in term of the quality of the received images at the receiver side.
Obstacle detection using Microsoft Kinect

This thesis presents the development of image processing algorithms based on a Microsoft Kinect camera system. The algorithms developed during this thesis are applied on the depth image received from Kinect and are supposed to model a three dimensional object based representation of the recorded scene. The motivation behind this thesis is to develop a system which assists visually impaired people by navigating through unknown environments. The developed system is able to detect obstacles in the recorded scene and to warn about these obstacles. Since the goal of this thesis was not to develop a complete real time system but to invent reliable algorithms solving this task, the algorithms were developed in MATLAB. Additionally a control software was developed by which depth as well as color images can be received from Kinect. The developed algorithms are a combination of already known plane fitting algorithms and novel approaches. The algorithms perform a plane segmentation of the 3D point cloud and model objects out of the received segments. Each obstacle is defined by a cuboid box and thus can be illustrated easily to the blind person. For plane segmentation different approaches were compared to each other to find the most suitable approach. The first algorithm analyzed in this thesis is a normal vector based plane fitting algorithm. This algorithm supplies very accurate results but also has a high computation effort. The second approach, which was finally implemented, is a gradient based 2D image segmentation combined with a RANSAC plane segmentation (6) in a 3D points cloud. This approach has the advantage to find very small edges within the scene but also builds planes based on global constrains. Beside the development of the algorithm results of the image processing, which are really promising, are presented. Thus the algorithm is worth to be improved by further development. The developed algorithm is able to detect very small but significant obstacles but on the other hand does not represent the scene too detailed such that the result can be illustrated accurately to a blind person.
Cover

Meteoritics & Planetary ScienceVolume 54, Issue 4 p. i-i CoverFree Access Cover First published: 01 April 2019 https://doi.org/10.1111/maps.13154AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Graphical Abstract Volume54, Issue4April 2019Pages i-i RelatedInformation
Penentuan Status Mutu Air Metode Storet DAS Kali Curah Macan

The monitoring station of Curah Macan Watershed is located in Arjasa Village, Arjasa District, Situbondo Regency with 7o71'66 " at the South Latitude and 114o12'17" at the East Longitude. The aim research is to know the quality of water routinely, so that the water quality condition of river water body can be detected from the beginning. This is due to changes in land functions that have reduced water absorption function, erosion, sedimentation and industrial and household activities. Therefore, research on the analysis of the status of water quality especially in the Curah Macan watershed is very important to be done periodically in order to maintain its sustainability. The research using STORET method shows the water quality of Curah Macan watershed in the period of January - December 2017 for the quality of class I, II, III and IV has a score respectively -50; -28; -12 and -4 so that the water quality qualification is bad, moderate, moderate and good. Keyword : Kali Macan Watershed, Storet Method, Water Quality, Period January - December 2017
Modified Form of PSO and Its Variation in Channel Equalization

Novelty of PSO is the techniques of parameter improvement. Using many “strategy principles” for the PSO is important for its convergence performance and the optimisation job. In the proposed work, we applied PSO and its advanced form trained with our proposed algorithm for channel equalization. Since particle swarm optimization is matured in the literature ,we apply PSO in its optimized structure trained with radial basis function Artificial Neural Network (ANN). Therefore, this work introduces most favourable design of RBFNN equalizers using OPSO. We treat equalization problem as a classification problem. We assessed a set of fitness functions of modified form of PSO and analysed with it to the presentation of existing PSO .
Beta-Testing

Beta-testing is a critical stage of app development that a lot of indie developers don't spend enough time on. Many indies build their app and they test it within their personal network and perhaps get their friends to test the app, but don't test the app with target users.
The Challenges of Virtual Communication in Times of Pandemic in Public Universities in Mexico

This work describes the needs that business professors had to face in the new modality of online classes during the pandemic in order to achieve effective virtual communication in public universities located in Mexico.It is concluded that the use of effective virtual communication in higher education is essential in the new normal and that research should continue to regulate and consolidate it.
Performance Enhancement of Cloud Computing: Methodology &amp; Tool

This paper describes the testing process employed for testing the in-house developed cloud by using the Google open source tool PerfKit and employing techniques for increasing the performance. Though new tools for testing cloud are emerging into the market, there are aspects which are suited for manual testing and some which can be speeded up using automatic testing tools for various cloud environments for Infrastructure, Platform and Software services. This paper brings out the techniques best suited to test different features of Cloud computing environment and to figure out the lacuna in performance of cloud services. The authors also try to bring out solutions to improve the performance of cloud (recommend) by using various tools to figure out the debugging and analysis process guidelines to follow while fine tuning the performance of private clouds.
ACQUIRING BREATHING MOVEMENT AND HEART RATE FROM INERTIAL MEASUREMENT UNITS

Wearable devices can raise suspicion about disorders, so action can taken in a timely fashion.However, wearable devices are still not widespread and inaccessible for many.Using smartphone's and smartwatch's inertial measurement units people's breathing movement and heart rate can be extracted.Breathing movement can be measured by device rotation heart rate can be measured by abdominal vibration.The devices are capable of acquiring signals very similar to Siesmocardiography, Cardiography and slightly similar to Ballistocardiography.