Reviewerly/exHarmony huggingface dataset:
A novel approach-foot tumour detection algorithm using watershed and thresholding based segmentation.

Detection of foot tumour has always been a little tedious as it is generally confounded with other diseases of the foot. Hence, the method of detecting foot tumour is of utmost importance. Though image processing techniques have replaced the original biopsy method, these classical methods are still attributed to a few drawbacks. In this paper we have proposed an efficient methodology which extracts the image and converts an input color image to YcBcRc components and each component of YcBcRc component are extracted separately to detect the exact size and location of tumour region in the foot using threshold and watershed segmentation algorithms by applying morphological operators. After the scanned MRI is enhanced using segmentation, the tumour can be detected effectively.
Kritikal Faktor Sukses Pengelolaan Operasi dan Pemeliharaan Irigasi terhadap Insfrastruktur Irigasi di Kota Payakumbuh

Payakumbuh City is one of the largest rice / rice producing cities in West Sumatra province, so one step to meet the air needs needed to support the sustainability of rice agriculture, the Payakumbuh city government built irrigation infrastructure. The Regional Government of Payakumbuh has also made various efforts to build irrigation networks that have been built by allocating a budget each year. But various irrigation networks that have been built repair damage and are not well maintained, allowing the network to supply air for agriculture cannot be launched. Causal factors This condition occurs because the network of plantations that have been built has not been maintained and managed systemically. For this reason, an efficient and effective system management is needed, by knowing what key factors are needed in the construction of a good operating and maintenance system.
ANALISIS KESALAHAN BERBAHASA PADA TULISAN MEDIA LUAR RUANG DI KOTA LANGSA

This study aims to describe errors in spelling, diction, and sentence in billboards and plank shops in the area Langsa. The research data was sourced from the writings found on billboards and nameplate stores in Langsa. Source of data which is the object of this study is spelling, diction, and sentence contained on billboards and nameplate stores in Langsa. Data taken from two districts of the five districts in Langsa as samples. Sampling was done by cluster sampling technique. The approach used in this study is theoretical and methodological approaches. The theoretical approach in this research using Indonesian error analysis approach, while the methodological approach used is a qualitative descriptive approach. Data collected by using the method of direct observation, technical notes, and documentation. Analyzing or processing the data of this study using qualitative analysis techniques. The results obtained are still a lot of errors written in outdoor media in Langsa, especially in the district of Langsa town and Langsa Baro are not in accordance with the rules of Indonesian. The most common errors are errors of spelling and word choice (diction).
DNS Web Service Discovery

This document describes a standardized approach to discovering WebService Endpoints from a DNS name. Services are advertised using theDNS SRV and TXT records and the HTTP Well Known Service conventions.This document is also available online athttp://mathmesh.com/Documents/draft-hallambaker-web-service-discovery.html [1] .
Developing Students’ Soft Skill through Children Literature

This paper discusses the strategy of teachingchildren’s literature as a media to develop students’ soft skills.Soft skills are tied to an individuals’ emotional quotient (EQ),the cluster of personality characteristic, communication skill,personal habits, friendliness, optimism, and their harmoniousrelationship with other people. The research employs libraryresearch which focuses on certain references withoutconducting field research. The data consists of some referenceswhich are relevant to the subject of the research. Theprocedure of collecting data encompasses: preparing generalidea on the subject of the research , finding supportinginformation, focusing and organizing information, findingrelevant references, reorganizing and taking a note, reviewingand finding enrichment references, and formulating a conceptwhich is relevant to the subject of the research. The data isanalyzed using preliminary analysis, that is, a set of simpleeffort to develop and analyze data into a simple frameworkthrough the process of selection of data. The result of researchhas found a technique that can be applied to develop students’soft skills through children’s literature, namely Reflection andRationale Based Teaching (R2BT). Through employing thistechnique, teaching children’s literature is not only to read andcomprehend the elements of story grammar, but it can be avehicle to guide students to achieve soft skills. This techniquealso touches three important aspects in developing soft skills,which are:
MANAJEMEN KEPALA SEKOLAH DALAM PENGELOLAAN DANA BANTUAN OPERASIONAL SEKOLAH (BOS) PADA SMP NEGERI DI KOTA BANDA ACEH

The aim of this research was to figure out the principal’s management behavior in managing BOS fund at State Junior High Schools in Banda Aceh. This qualitative research was conducted by employing a descriptive method. The results showed that (1) the planning program was arranged at the b 1 eginning of each academic year by the school finance teams according to the results of discussions and meetings with the teachers, the members of school committee and the students’ parents. The results were written in the school work and budget planning by considering 8 educational system standards of Indonesia in order to decide the priority scales based on the available fund. In addition, (2) the implementation of this program began with coordination and socialization. Moreover, the implementation was in accordance with the technical guidance of BOS fund distributed by the Education Board of Banda Aceh Municipality. It was also found that (3) monitoring and was done by the teachers, members of school committee, the principals, the inspectorate, the team of BOS fund from each school, the municipality, and the province. The monitoring report was submitted to the Local Government Agency (SKPD) every three month period. Lastly, (4) the limitations, the delays, and the society’s misunderstanding related to BOS fund were the obstacles found in managing the BOS fund at the schools. Keywords: management, principal, school operational assistance (bos) fund
Sistem informasi dan manajemen perpustakaan di Sekolah Menengah Atas

The program of community partnership (PKM) to develop library information systems and school library management training were carried out in SMAN 5 Tinggimoncong, Gowa district. The identification of partner problems were 1) The school does not have a library information system so that services cannot be effective and efficient, (2) The school library managers need assistance in managing school library automation, (3) Need to order and monitor the book collections, book lending, and library visits quickly. Through this PKM activity, it is expected to be able to develop the library information system and to train library managers able to manage IT-based libraries. In addition, students can borrow, search collections quickly using library applications, and the school principals and head of library can monitor the collection progress, lending, and library visits in real-time. The results obtained from this training activity show that, 1) the availability of library information systems makes it easier to search and borrow books, 2) the users can use the library information system, and 3) the catalog library books already embedded into the system, therefore the services is easy to monitor and manage.
VIRTAL MACHINE PLACEMENT OF CLOUD COMPUTING FOR ENERGY RESERVATION

© 2019 Int. J. of GEOMATE. Cloud computing has been widely deployed. The virtual machines (VMs) are created in servers upon the requests from users and they are deleted from the servers after the rental time expires. This is called dynamic workload condition. VMs should be consolidated into the servers to reduce the number of servers running VMs. Servers that do not have any VMs should be changed to sleep mode to reduce energy consumption. Therefore, VM scheduling which selects servers to run VMs has to find servers to place VMs and has to migrate servers under this dynamic workload condition. However, migration also consumes energy, so the number of migrations should be limited to save energy. In this paper, a VM scheduling method called Energy-Aware Scheduling Updating (ESU) which reduces total energy consumption in the data center is purposed. It chooses servers to create VMs. In addition, it updates the locations of VMs when changes occur while it limits the number of migrations to reduce energy consumption. The performance is of ESU is evaluated by computer simulation. The results show that ESU has a better performance considering energy consumption among the protocols used in comparison.
CONSTRUCTING EARTHQUAKE DISASTER-EXPOSURE LIKELIHOOD INDEX USING SHAPLEY-VALUE REGRESSION APPROACH

Indonesia is very prone to earthquake disaster because it is located in the Pacific ring of fire. Therefore, a reference level of earthquake disaster exposure likelihood events in Indonesia is needed in order to increase people's awareness about the risks. This study aims to determine the index that describes the risk of possible future earthquake disaster. As initial research, this study is focus on earthquake disasters in Java region, as it has the largest population in Indonesia. Several indicators that are related to the severity of earthquake disaster impact, were used in this study. The weights of each indicators were determined by considering its shapley-value, thus all indicators gave equal contribution to the proposed index. The results showed that shapley-value approach can be utilized to construct index with equal contribution of each indicators. In general, the resulted index had similar pattern with the number of damaged houses in each districts.
Faktor-Faktor yang Mempengaruhi Motivasi Belajar Bahasa Inggris

AbstractThis study aims to determine the factors that influence the motivation to learn English and the dominant factors affecting motivation to learn English. This type of research is a quantitative study with a vactorial approach. The subjects of this study were high school XI IPS students at Batik 1 Surakarta High School and the objects in this study were factors that influenced motivation to learn English. This study used a sample of 140. Data was collected using a questionnaire, then processed by factor analysis techniques using the SPSS 16 program for Windows. The results showed that there were five factors that influenced motivation to learn English, namely, social support amounting to 20,273%, feeling of learning 35, 486%, anxiety 46,070, future orientation, 52,709 and hopes of getting praise 58,988%. Of the five factors, namely the expectation factor to get praise is the most dominant factor affecting the motivation to learn English.Keywords: analysis factor, learning motivation, lenguage english
Crypto currency - A Cauldron of Legal & Technical Challenges: An Indian Perspective

Crypto currency is the key action word of caution and currency in operation. Technology has enabled operations of currencies across possible by least cost with appropriate legal correctness. There are two options left to Governments of Nations: 1. Adapt to fast changing to curb Bitcoins - a symbol of challenge for the Nations and 2. Legalize crypto currencies to control their disastrous effects. The time is now to discuss the issue at the global level to address the challenge before it erupts into a volcano.
Analisa Mekanisme Loading System Pada Kawasaki Wheel Loader 60ZV

ABSTRACTLoading system is the main process carried out by the wheel loader unit which can be simply explained a series of work combinations of several components. So as to produce work on the unit, starting from hydraulic oil flowed by hydraulic pumps and distributed to several loading system components such as actuators (hydraulic cylinders)Mechanism analysis is done by collecting some data obtained from the manual book unit and manual check unit. The next step is to analyze the mechanism of the loading process and the force produced by the hydraulic cylinder and the maximum load that can be raised by the boom structure.From the analysis and calculation shows the pump at 2530 rpm pump rotation with an actual discharge of 101.75 liters per minute, from the data obtained in the analysis of pump calculations obtained also the results of the force generated by the hydraulic cylinder are 1 bucket cylinder when the rod exits produces a force of 237.489 kN and when the rod enters produces a force of 178.1283 kN, while for the boom cylinder produces a force per cylinder of 199.563 kN at the outgoing rod position and produce a force of 129.8852 kN when the rod enters, then the breakoutforce force produced is 88,58 kN.Keywords : Cylinder Hydraulic, hydraulic pump, maximum load
The Base Class Library

This chapter will cover the Base Class Library (BCL) foundational library.
Agent Mediated Code Comprehension: A Cognitive Challenge

The rapidly changing needs and opportunities of today’s global software market require unprecedented levels of code comprehension to integrate diverse information systems to share knowledge and collaborate among organizations. The combination of code comprehension with software agents not only provides a promising computing paradigm for efficient agent mediated code comprehension service for selection and integration of inter-organizational business processes but this combination also raises certain cognitive issues that need to be addressed. We will review some of the key cognitive models and theories of code comprehension that have emerged in software code comprehension. This paper will propose a cognitive model which will bring forth cognitive challenges, if handled properly by the organization would help in leveraging software design and dependencies.
Interoperable identity management protocol for multi-cloud platform

Multi-cloud adaptive application provisioning promises to solve data storage problem and leads to interoperability of data within multi-cloud environment. This also raises concern about interoperability of user among these computing domains. Although various standards and techniques have been developed to secure the identity of cloud consumer, but neither of them provides facility to interoperate and to secure the identity of cloud consumer. Thus, there is a need to develop an efficient authentication protocol that maintains single unique identity of cloud consumer and make it interoperable among various cloud service providers. Elliptic curve cryptography (ECC) based algorithms are the best choice among Public Key Cryptography (PKC) algorithms due to their small key sizes and efficient computation. In this paper, a secure ECC based mutual authentication protocol for cloud service provider servers using smart device and one time token has been proposed. The proposed scheme achieves mutual authentication and provides interoperability among multiple cloud service providers. The security analysis of the proposed protocol proves that the protocol is robust against all the security attacks. The formal verification of the proposed protocol is performed using AVISPA tool, which proves its security in the presence of intruder.
The Impact of Weblogs on Contemporary Pedagogy: Rss Feeds as an Example

The study aimed to investigate how Rich Site Summary (RSS) feeds can describe weblogs on contemporary pedagogy, and how to integrate these into a single simplified representation of the organizational knowledge. To achieve the goals of the study, it adopted qualitative approach. Therefore, the research discussed the characteristics of RSS feeds search service. The results indicated that maintain student engagement outside the traditional classroom environment. Ensuring that they receive the intended feedback in time can be a challenging issue. Therefore, RSS architecture provided the students with the opportunity to share information with their peers, professors, and their real-world clients.
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection

While depth cameras and inertial sensors have been frequently leveraged for human action recognition, these sensing modalities are impractical in many scenarios where cost or environmental constraints prohibit their use. As such, there has been recent interest on human action recognition using low-cost, readily-available RGB cameras via deep convolutional neural networks. However, many of the deep convolutional neural networks proposed for action recognition thus far have relied heavily on learning global appearance cues directly from imaging data, resulting in highly complex network architectures that are computationally expensive and difficult to train. Motivated to reduce network complexity and achieve higher performance, we introduce the concept of spatio-temporal activation reprojection (STAR). More specifically, we reproject the spatio-temporal activations generated by human pose estimation layers in space and time using a stack of 3D convolutions. Experimental results on UTD-MHAD and J-HMDB demonstrate that an end-to-end architecture based on the proposed STAR framework (which we nickname STAR-Net) is proficient in single-environment and small-scale applications. On UTD-MHAD, STAR-Net outperforms several methods using richer data modalities such as depth and inertial sensors.
Εφαρμογές μηχανικής όρασης

Over the last years, mechanical vision applications have been developed to a great extent and as a result it has a place at the epicenter of most of the applications and modern human needs. From the progress of Automatic Control Systems, the human set forth the basic characteristics of the Science of Automation and started to introduce them in various applications. In the present study we tried to research various applications of mechanical vision and how we can take advantage of them through various applications to collect incidence data in industrial production operations and control as well as in applications for object recognition and control by means of sensors in a DC motor. For the implementation of those applications we used the widely used electronic platform Arduino, for the intervention of sensors and circuits, as well as the program Simulink of Matlab for the control and modeling of our processes. Thus, we got conclusions on how the application respond through the mechanical vision to different forms of control, and we suggested the desired way of control based on the output responses and the results of our applications. Finally, in the last chapter of our study we suggest various applications with of mechanical vision using a camera for color recognition, which can be utilized by the plastic, material and metal industry.
LibGuides: NEWM N505 Advanced Issues in Emerging Media Environments: Home

This guide is to help students enrolled in Advanced Issues in Emerging Media Environments find materials to support their research.
Bandwidth simulation as a Monte Carlo queuing system

One of the issues raised in cloud computing is the data center locating problem and one of the effective factors in designing data center locations is amount of data volume and referrals to it. This depends on the number of customers or users who are going to use that data center, which is a probable issue. In this paper, the bandwidth simulation is described by considering the bandwidth system as a queuing system and simulating it by Monte Carlo method. We explain how to simulate the bandwidth consumption in different static and dynamic simulation states for a real computer system and we show that the bandwidth required at an Endpoint in cloud computing can be calculated with different Gamma distribution parameters.
Character Students and Liberation Movement in School

Activity of habituation of positive attitude and behavior at school that starts gradually from basic education tohigher education is the developing character. One of the habituation is in connection with school literacymovement that is a mandatory activity to use 15 minutes prior to the day of learning to read books other thantextbooks (every day). School literacy movement policy is closely linked to literacy as a basic component offormation of qualified, productive and competitive human resources, possessing good character, and nationalism.There are three stages in the implementation of School literacy movement , namely habituation of fun readingactivities at school environment; development of reading interest to improve the literacy skills; and implementationof literacy-based learning. The School literacy movement program can create a literate school ecosystemand cultivate learners character.
"Comparable" JSON (JSONCOMP)

This application note describes how JCS [JCS] can be utilized tosupport applications needing canonicalization beyond the core JSON[RFC8259] level, with comparisons as the primary target.
Hierarchical Graph-Based Segmentation in Detection of Object-Related Regions

Object detection is an important task in computer vision. Recently, several unsupervised approaches have been proposed to cope with this problem in a category-independent manner. This work evaluates the adoption of a hierarchical graph-based segmentation along with an state-of-the-art method to detect object-related regions. A hierarchical segmentation approach produces a set of partitions at different detail levels, in a way that a coarser level can be obtained by a simple merge of finer ones. Experimental results show that our proposal obtains an increase of 11% in object detection rate.
Metode Pengacakan Algoritma Fisher Yates Pada Game Edukasi Pengenalan Kosakata Bahasa Inggris

English is a universal language that is important and has a big role in the world of gaming. Therefore, in order to make children learn English in activities they like. An educational game was made, educational games were built aiming to improve children's ability in terms of English. This game is also designed based on Android so that it makes it easier for players to access games without the need for an internet network to play. In programming, this game implements Fisher Yates algorithm to do the randomization process in the game. The Fisher Yates algorithm is an algorithm for generating a random permutation from a finite set, in other words to randomize a set. This game is played by a player, to complete each level of the game, with the higher level of the game will also increase the level of difficulty. Using a database with SQLite to store player names, questions and levels that have been achieved.