Reviewerly/exHarmony huggingface dataset:
A Preliminary Study of Transferring the Existing CNN Models for Small-Size Nuclei Recognition in Histopathology Images

Automated nuclei recognition and detection is a critical step for a number of computer assisted pathology based on image processing techniques. However, automated nuclei recognition and detection is quite challenging due to the exited heterogeneous characteristics of cancer nuclei such as large variability in size, shape, appearance, and texture of the different nuclei. Deep learning approaches, where the most popular one is the deep Convolutional Neural Network (CNN), have been shown to provide encouraging results in different computer vision tasks, and many CNN models learned already with large-scale image dataset such as ImageNet have been released. How to effectively adopt the exiting CNN models to other domain tasks such as medical image analysis has attracted hot attention for transferring the obtained knowledge from the general image set to the specific domain task, which is called as transfer learning. Since the released CNN model usually require a fixed size of input images, transfer learning strategy compulsorily unifies the available images in the target domain to the required size in the CNN models, which maybe modifies the inherent structure in the target images and affect the final performance. This study exploits an adaptable transfer learning strategy flexibly for any size of input images via removing the mathematical operation components but retaining the learned knowledge in the exiting CNN models. We modify the released CNN models: AlexNet, VGGnet and ResNet previously learned with the ImageNet dataset for dealing with the small-size of image patches to implement nuclei recognition. Experimental results show that our proposed adaptable transfer learning strategy achieves promising performance for nuclei recognition compared with a constructed CNN architecture for small-size of images.
Penerapan Metode Sugeno dalam Menganalisa Gangguan Jiwa Multiple Identity Disorder

Multiple identity disorder (previously known as multiple personality disorder) is a mental disorder caused by severe trauma in childhood (3-11 years) and adolescents (12-18 years). Someone can be known that true suffering from multiple identity disorder mental illness, the sufferer must consult a specialist doctor to be diagnosed first. In this case not all sufferers do not have the opportunity to consult a doctor directly because of busyness or expensive consultation fees. One effort that can be done to provide solutions to solving the problem above is to use an application or expert system that can diagnose the mental disorder. In the reasoning process, the Takagi-Sugeno-Kang fuzzy inference system method is used, where fuzzy logic is an appropriate way to map an input space into an output space. In fuzzy logic there are several processes, namely the determination of fuzzy sets, the application of if-then rules and the fuzzy inference process. The system that has been designed can be able to provide optimum diagnostic results in accordance with the results of experts who can help patients to make a diagnosis.
Hiding an Image Using Multi-object Vector Steganography and Variable Length Mixed Key Cryptography

Security and robustness are very important issues in designing a fine steganographic algorithm. Security is required due to a large amount of data transferred through the Internet. Today, image is a popular data which contains lots of secret information. This paper presents a technique to hide an image into the video using a combination of video steganography and cryptography. In this paper, we have used a multi-object vector steganography algorithm for hiding an image, and after this process, for video encryption, variable length mixed key cryptography (VLMKC) algorithm is used. A combination of steganography and cryptography provided more security. Our proposed method is highly secure because hackers do not know in which frame of the video sequence, image is hidden and how many images are used for hiding process, and do not know about actual information because the information is encrypted.
QUANTIFICATION OF THORIUM AND RARE EARTH ELEMENTS IN PERAK’S EX-MINING MONAZITE

Monazite is the rare-earth ore mineral that contained thorium in association with uranium and rare earth elements (REE). In Malaysia, monazite is obtained from ‘amang; a byproduct from tin mining. The objective of this study is to quantify the content of thorium, REEs and other metals contained in monazite obtained from Perak’s ex-mining area. The most common technique used to quantify thorium and REEs is energy dispersive x-ray fluorescence spectrometer (ED-XRF). Although this technique is reliable for bulk elemental analysis, but it is usually quantified with non-standard measurement. In this study, the quantification was performed using a combination of two equipment; wavelength dispersive x-ray fluorescence (WD-XRF) spectrometer and field emission scanning electron microscope (FESEM) integrated with energy dispersive x-ray spectrometer (EDX). WDXRF provides an accurate bulk elemental analysis with standard reference while FESEM-EDX gives more detailed elemental content based on microstructural spot analysis. This study compares between as received and ground (milled) monazite. Overall, both techniques show Perak’s monazite is a monazite-(Ce) [(Ce, Nd, La, Gd)-PO4 minerals contained about 7% thorium and 0.2% U. The content of thorium and REEs were higher in milled samples. Thus, smaller size monazite particles give higher thorium and REEs recovery.
Human Action Recognition in Unconstrained Videos Using Deep Learning Techniques

Lakshmi Priya, G. G. Jain, Mrinal Srinivasa Perumal, R. Chandra Mouli, P. V. S. S. R.Human activity recognition is an active and interesting field in computer vision from past decades. The objective of the system is to identify human activities using different sensors such as cameras, wearable devices, motion and location sensors, and smartphones. The human actions are automatically identified through their physical activities in human–computer interaction. Determining the human action in an uncontrolled environment is a challenging task in human activity recognition system. In this paper, a novel approach is proposed to recognize human actions effectively in an uncontrolled environment. A frame for the video segment is selected by temporal superpixel, which acts as the input image for the model. Convolutional neural network techniques are applied to extract the features and recognize the human activities from the image. The proposed method has experimented on KTH database and it shows the performance of the method in terms of accuracy. However, the proposed method has attained better accuracy when compared to the existing methods.
Edition and Review of the Network Manuscripts of Government Affairs

In order to strengthen and maintain the quality of the documents on the website of the public sector, double efforts should be made on the edition and review work in the light of the characteristics of the hypertext link, multimedia assistance, and separation of the title and the text of the documents in the government affairs network. In accordance with the principles of outstanding highlights, novel creativity, concise language and specific accuracy, the title and key words should be set well to avoid political, factual and intellectual, rhetorical errors and prevent from false network information.
Uji Validitas Pengembangan KIT Alat Peraga untuk Siswa SMA Pada Konsep Sistem Respiras

Abstract.  The purpose of this study is to produce valid teaching instruments for high school students on the concept of the respiratory system. The development model used is the ADDIE development model which consists of five stages: 1) analysis, 2) design, 3) development, 4) implementation, and 5) evaluation. This article is limited only to the development section, especially to the validity test of the props. To test the validity of the teaching aids, the instrument validation sheet was assessed based on the results of the validator's assessment. The teaching aids are validated based on three aspects of assessment, namely aspects of guidance, aspects of assessment components, and aspects of language. Validated teaching aids consist of six units, namely: 1) lung model, 2) CO2 test, 3) simple respirometer, 4) spirometer, 5) anaerobic respiration, and 6) KIT props. The results of the teaching aids (lung model) obtained an average value of 4.42. The validation of props (CO2 test) obtained an average value of 4.59. Props validation (simple respirometer) obtained an average value of 4.59. Validation of props (spirometer) obtained an average value of 4.42. Props validation (Anaerobic respiration) obtained an average value of 4.44. and the validation of the respiration system props packaged into a KIT in the box obtained an average value of 4.42 Keywords: KIT props, respiration system
ANALISIS FAKTOR KEKANGAN PEMBELAJARAN BERASASKAN REKA BENTUK DALAM KALANGAN GURU BERDASARKAN FUZZY DELPHI METHOD

Despite growing awareness of the importance of design thinking in education, formal classroom implementation still faces obstacle. Teacher lack the knowledge and skills especially design thinking competence, required to design based learning. The goal of this studywas to identify obstacle factor for implementation of design-based learning using Fuzzy Delphi Method. The data was gathered using questionnaire. Verification is done by 30 expert teachers. The study found that expert consensus on five of eight elements is more than 75% with threshold value (d) â‰¤ 0.2. The result revealed that the lack of guidelines and profesionalisme development course are some of the obstacle faced by teacher.
THE EFFECT OF EXTENSIVE READING ON THE STUDENTS’ READING COMPREHENSION AT THE TENTH GRADE OF SMA DAARUL MUTTAQIEN TANGERANG IN ACADEMIC YEAR 2019/2020

AbstractThe aim of this research was to know a significant effect of extensive reading on the students’ reading comprehension at the tenth grade of SMA Daarul Muttaqien Tangerang. This research used quantitative method, 71 students as the sample which taken by using quasi experimental research and non-equivalent control group design. Students’ test and questionnaires were used by the writer to collect the data. The hypothesis data was tested using formula t-test, it was known that in experimental class and control class indicated with Ha was accepted its mean that there was an effect of using extensive reading on the students’ reading comprehension at the Tenth grade of SMA Daarul Muttaqien Tangerang, in experimental class the students were focused and had a big spirit in learning reading using extensive reading they were could gave a summary of the reading text with good structure and done the instrument correctly during the learning process. Based on the percentages students’ post-test showed that students’ reading comprehension was better than before. Moreover, this research also found that students’ learning motivation was very good and the students in experimental class were more active in reading using extensive reading during learning process.Keywords: quantitative method; extensive reading; reading comprehension
Penjadwalan Perkuliahan dengan Metode Metaheuristic Ant Colony Optimization Studi Kasus Politeknik Negeri Bali

Lecture scheduling problems are a very complex problem, where the core of the scheduling is how to schedule several components consisting of students, lecturers, space, time, and subject matter with due regard to certain constraints and constraints. The goal to be achieved is to apply the Ant Colony Optimization (ACO) Metaheuristic method to optimize the lecture scheduling system. Every step taken by ACO uses an algorithm adapted from ant behavior to solve combinatorial problems. This system is created using Microsoft Visual Basic programming by entering several parameters, namely Lecturer, Course, Room, and several variables from each parameter which are then processed to produce lecture scheduling. The results obtained from the ACO implementation to solve college scheduling problems are seen from the number of constrained constraints and the length of time required from each iteration in each method to get a class schedule so that they get a schedule with a 82 percent truth level which is a comparison of constraint violations to the total number of timeslot used for scheduling.
Design and Development of a Teaching Management Platform for School-Enterprise Cooperative Programs

The development of vocational education requires effective combination of different educational environment and resources through school-enterprise cooperation and industry-education integration to meet the demands of market economy over students’ overall quality and comprehensive competency. In this context, a set of comprehensive management software was developed for school-enterprise-school cooperation on the basis of an analysis of defects of existing products for school-enterprise cooperation and educational administration. The smart automatic system is able to handle teaching affairs more efficiently and precisely, and thus provides guarantee for better cooperation between different partners.
ANALYSIS OF HEAVY METAL MERCURY (Hg) IN NAILS AND HEMOGLOBIN LEVELS (Hb) GOLD MINERS ON NAGARI ABAI SIAT SANGIR DISTRICT SOUTH SOLOK

Mercury can cause serious problems for human health, such as the bioaccumulation of mercury in the brain and kidneys which ultimately leads to neurological diseases. As long as in the body mercury (Hg) will be bound to proteins, metallic-sister and hemoglobin. Hemoglobin (Hb) is a pigment containing iron contained in red blood cells whose main function is in transporting oxygen from the lungs to all body tissue cells. This study aims to analyze the relationship of heavy metal levels of mercury (Hg) in nails with hemoglobin (Hb) levels in gold miners. This type of research is descriptive experimental using the AAS (Atomic Absorption Spectrophotometer) method. From the results of research that has been done that there is no relationship between heavy metal mercury (Hg) on ​​the nails and hemoglobin (Hb) levels with p value 0.642> 0.05 and Pearson correlation -0.111 which means there is no relationship. Of the 20 samples containing mercury (Hg) in normal gold miners as many as 10 samples (50%) and low as many as 10 samples (50%). and normal hemoglobin (Hb) levels were 14 samples (70%) while the abnormal ones were 6 samples (30%).
Smart city concept based on Nusantara culture

This paper raises a concept of future urban planning that still maintains the local culture or the culture of the archipelago in Indonesia. This article is the result of research conducted on a traditional village in the northern Bandung area. The method used in this study is a qualitative method that uses a visual cultural transformation theory approach. The results of this study are a new concept regarding smart cities without losing the cultural characteristics of the archipelago. This research is still in its early stages, and requires more discussion and application in more detailed and specific case studies.
Связь целеполагания в преподавании математики с ее технологическим сопровождением

Technological support of teaching mathematics depends on what methodological and pedagogical goals are put for learning. Achieving or failing to achieve these goals is connected with the used type of feedback or in other words, the method of assessing the educational activities of students. In this work, two types of assessment are contrasted: a test form of knowledge testing (implemented by a system of mid-term and final exams) and a formative assessment (determined by the teacher’s informal reaction to the student’s productive activities and the way these activities are organized). It is shown that the first type of assessment corresponds to the consideration of the curriculum as a learning goal, the second — as a learning tool. In the first case, the purpose of training is the acquisition of specific knowledge and skills, and in the second, the mastery of the general mechanisms of educational activity inherent in a given subject area (mathematics). For the first goal, it is effective to use template tasks including generated exercises and simulators, for the second — to use various tools that support constructive and research activities.The article shows how “non-invasive monitoring” is used to achieve the second goal, when the teacher and the student are not on opposite sides of the academic barrier (the student answers — the teacher sets a mark), but on the same side and jointly perform actions to create conditions for the most effective mastery of the course material by each student. The basis of non-invasive monitoring is modeling the presentation of the results of this activities to the scientific community, including all intermediate stages of such activities. Instead of testing knowledge and issuing formal marks, feedback is used, various approaches and ways to solve the problem are discussed together, and monitoring is limited to students’ self-esteem, which is not necessarily communicated to the teacher. At the same time, the discussion process itself is open, and the teacher can always evaluate the problems of students, without turning them into an instrument of formal pressure on the student by third parties.
INNOVATIVE CULTURE IN THE TERM OF IMPROVEMENT OF QUALITY OF LIFE

The quality of life as a complex phenomenon may be observed and interpreted in different ways.This paper emphasize that term the quality of life should be studied as an interaction of human needs and subjective perception.This paper also attempt to explore how to build and create the basics for creating an innovative culture, or innovative environment, to improve measurement of objective and subjective perceptions and collect data for indicators of quality of life.The overview is presented as a possible working model that allows researchers and other interested parties to group individual factors into different categories of quality of life that may be considered as an additional value of systems and processes.The paper also tried to explain the relationship between public and organizational culture, the influence of cultural differences, known published standards in this field and the quality of life.Culture is structurally viewed as a traditional, civic, organizational, culture of quality, improvement culture and innovative culture.However, the emphasis is placed on ISO standards for innovation management systems, which are in the process of publishing, which relate to the creation of an innovative culture, or standardized management solutions to innovation systems.There is a well-founded and mutual relationship in the triangle of public and organizational culture, innovation culture and quality of life, based on international standards.
Projector-based augmented reality with simultaneous 3D inspection using a single DMD

This paper presents an industrial augmented reality system that simultaneously measures a component, identifies possible defects and displays the inspection result directly on the component. The processing is done in real time using a single DMD-based projector for both the inspection and augmented reality. The use of a single DMD eliminates the issue of registration between the component being inspected and an auxiliary augmented reality projector. The use of a single projection system also eliminates possible occlusion due to parallax between both projection systems. The system uses an algorithm that computes at video frame rate the temporal sequences of micromirror positions that, when imaged by a high-speed camera, contains a set of structured-light patterns. The temporal sequences are designed such that a human observer sees the desired augmented information. The proposed prototype can acquire 12 range images per second. The range uncertainty at 1-&sigma; is 14 <i>&mu;</i>m and each range image contains approximately one million 3D points.
Identifying Implicit Requirements in SRS Big Data

Over the past few years, we have worked on pioneering an approach that employs Commonsense Knowledge (CSK) to automate the identification of Implicit Requirements (IMRs) from text in large Software Requirements Specifications (SRS) documents. This paper builds on our IMR-identification approach by adding CNN-based deep learning to detect IMRs from complex SRS big data such as images and tables.
Photovoltaic Design for Smart Cities and Demand Forecasting Using a Truncated Conjugate Gradient Algorithm

Worldwide, global warming is a very important concern. This refers to climate change caused by human activities, which affect the environment. Climate change presents a serious threat to the natural world. This is likely to affect our future unless action is taken to avoid such phenomena. In addition, without ambitious mitigation efforts, global temperature rises will occur in this century. In recent years, countries all over the world have had their own vision directed toward renewable energy, which is a clean option to will help to avoid the results of global warming. One of these energy sources is solar energy. The idea of solar energy has been raised to improve sustainability in individual countries and in the energy sector. Various countries have made decisions to develop renewable energy projects. Solar energy plans have become important in recent years. Integration of variable energy resources into an electricity grid can use solar photovoltaics as a main resource. These variable energy resources, as new resources, are currently envisioned to be either wind or solar photovoltaics. However, the output of these types of resources can be highly variable and depend on weather fluctuations such as wind speed and cloud cover. Since photovoltaic power generation is highly dependent on weather conditions, photovoltaic power generation operates differently in different regions. In particular, solar irradiance affects photovoltaic power generation. This means that solar power forecasting becomes an important tool for optimal economic management of the electric power network. In this chapter, an artificial intelligence technique is recommended to calculate the number of solar power panels required to satisfy a given estimated daily electricity load for five countries: the Kingdom of Bahrain, Egypt, India, Thailand, and the UK. Such artificial intelligence techniques play an important role in modeling and prediction in renewable energy engineering. The main focus of this chapter is the design of photovoltaic solar power plants, which help to reduce carbon dioxide emissions where they are connected to the national electricity grid in order to feed the grid with the extra electricity they generate. In this case, the power plant becomes more efficient than a combined cycle plant. At the same time, modeling and prediction in renewable energy engineering helps engineers to make predictions regarding future required loads.
Design of sofware defined radio (SDR) in 88 MHz to 800 MHz multiband frequency based Audio Receipt System at Raspberry

Abstract – Technology radio communication is currently developing, initially SDR (Software Defined Radio) is used by amateur radio to communicate , but with the presence of the SDR technology will have a major influence on technological development in the field of radio communication. SDR technology can replace several devices in a certain frequency range and mode, especially on military tactical equipment, so that it has a light weight, smaller dimensions and is reconfigurable in addition to this (multiband). In the future this technology will be very necessary to overcome various kinds of obstacles in many of these things. Because of that Software Defined Radio (SDR), problems in the technology platform can be easily other than that in terms of education its use can facilitate learning about the system general radio communication.&#x0D; &#x0D; Keywords : Software Defined Radio (SDR), reconfigurable, multiband