bluuebunny/crossref_metadata_2025 huggingface dataset:
Deteksi Dini Kanker Kulit menggunakan K-NN dan Convolutional Neural Network
Authors: Savera Teresia R. , Suryawan Winsya H. , Setiawan Agung Wahyu
Published: June 2020

Kanker kulit adalah salah satu jenis kanker yang dapat menyebabkan kematian sehingga diperlukan sebuah aplikasi perangkat lunak yang dapat digunakan untuk membantu melakukan deteksi dini kanker kulit dengan mudah. Sehingga diharapkan deteksi dini kanker kulit dapat terdeteksi lebih cepat. Pada penelitian ini terdapat dua metode yang digunakan untuk melakukan deteksi dini kanker kulit yaitu deteksi dengan klasifikasi secara regresi dan artificial neural network dengan arsitektur convolutional neural network. Akurasi yang diperoleh dengan menggunakan klasifikasi secara regresi adalah sebesar 75%. Sementara, akurasi deteksi yang didapatkan dengan menggunakan convolutional neural network adalah sebesar 76%. Hasil yang diperoleh dari kedua metoda ini masih dapat ditingkatkan pada penelitian lanjutan, yaitu dengan cara melakukan prapengolahan pada set data citra yang digunakan. Sehingga set data yang digunakan memiliki tingkat pencahayaan, sudut (pengambilan), serta ukuran citra yang sama. Apabila tersedia sumber daya komputasi yang besar, akan dilakukan penambahan jumlah citra yang digunakan, baik itu sebagai set data latih maupun uji. AbstractSkin cancer is one type of cancer that can cause death for many people. Because of this, an application is needed to easily detect skin cancer early that the cancer can be handled with more quickly. In this study there were two methods used to detect skin cancer, namely detection by regression classification and detection by classifying using artificial neural networks with network convolutional architecture. Detection with regression classification gives an accuracy of 75%. While detection using convolutional neural networks gives an accuracy of 76%. These proposed early detection systems can be improved to increase the accuracy. For further development, several image processing techniques will be applied, such as contrast enhancement and color equalization. For future works, if there is more computational resource, more images can be used as dataset and implement the deep learning algorithm to improve the accuracy.
Penentuan Jarak Karakter Pemain dengan Karakter Bukan Pemain yang Harus Mengikuti Pemain pada Pengembangan Game Simulasi Mitigasi Bencana Erupsi Gunung
Authors: Widowati Henny , Widhowati Rachma Putri , Puspitodjati Sulistyo , Pardede D.L. Crispina
Published: June 2020

Game simulasi sering melibatkan karakter pemain (player character) dan karakter bukan pemain (non player character) (KBP/NPC), sebagaimana pada game simulasi mitigasi bencana erupsi gunung yang sedang dikembangkan. Salah satu bentuk interaksi antara karakter pemain dengan KBP adalah KBP harus mengikuti karakter pemain. Pemrograman agar KBP mengikuti pemain, perlu menentukan jarak sejauh apa sehingga KBP secara otomatis mengikuti pemain. Penentuan jarak antara karakter pemain dengan KBP  menjadi bahasan dalam makalah ini. Jarak dihitung secara matematis menggunakan konsep pitagoras, dan dengan pertimbangan estetika visual. Salah satu unsur visual yang dipertimbangkan adalah bentuk, baik KBP maupun bentuk karakter pemain. Jarak yang merupakan hasil perhitungan digunakan sebagai batasan untuk menganimasi (menggerakkan) KBP mengikuti karakter pemain. Animasi KBP, yaitu karakter berupa sapi dan manusia mengikuti pemain adalah bagian dari pengembangan game simulasi mitigasi bencana erupsi gunung berapi. Pengujian dengan membuat karakter pemain dan collider yang ada pada KBP bertumbukan atau bersentuhan berhasil membuat KBP bisa mengikuti karakter pemain sesuai dengan jarak yang ditentukan, dan berhasil mencapai tujuan. AbstractSimulation games often involve player characters and non-player characters (NPC), as in the mountain eruption disaster mitigation simulation game developed. One form of interaction between player characters and NPC is that NPC must follow the player character. Programming so that NPC follows players requires determining the distance so that NPC automatically follows the player. Determination of the distance between player characters (players) and non-player character objects (NPC) is discussed in this paper. The distance is measured mathematically using the pythagorean concept and visual aesthetics consideration. One visual element considered is the shape, both NPC and the player's own shape. The resulting distance is used as boundary to animate (move) NPC following the player's character. NPC's animation: the character of cows and humans following players is part of the development of mitigation simulation games for volcanic eruptions. The test, by making the player character and the collider on the NPC collide,  succeeded in making the NPC follows the player character according to the specified distance, and succeeded in achieving the goal.
Analisis Sentimen Maskapai Penerbangan Menggunakan Metode Naive Bayes dan Seleksi Fitur Information Gain
Authors: Negara Arif Bijaksana Putra , Muhardi Hafiz , Putri Indira Melinda
Published: June 2020

Zaman sekarang tren masyarakat untuk memesan tiket pesawat sudah melalui situs-situs booking online. Pegipegi.com merupakan salah satu website yang menyediakan pemesanan tiket dan menyediakan fitur ulasan bagi pengunjung untuk menyampaikan opini. Pengunjung lain yang membaca ulasan-ulasan tersebut dapat memperoleh gambaran secara lebih objektif mengenai maskapai penerbangan. Ulasan pengguna yang terdapat pada website pegipegi.com saat ini sudah sangat banyak sehingga hal ini menyulitkan dan memakan waktu untuk membaca secara keseluruhan. Oleh karena itu dirancang analisis sentimen guna membantu mengklasifikasi ulasan kedalam kategori positif atau negatif sehingga dapat memberikan rekomendasi maskapai penerbangan berdasarkan jumlah kategori ulasan. Metode yang diterapkan untuk klasifikasi sentimen adalah Naïve Bayes dengan seleksi fitur Information Gain. Adapun tujuan dari penelitian ini adalah mengetahui pengaruh dari pemilihan fitur Information Gain terhadap akurasi klasifikasi dan membuktikan bahwa metode Naïve Bayes dengan Information Gain dapat digunakan untuk klasifikasi analisis sentimen. Hasil pengujian yang telah dilakukan menunjukkan bahwa nilai rata-rata akurasi, precision, recall setelah penambahan Information Gain menunjukkan hasil yang lebih baik sebesar 0,865 jika dibandingkan sebelum penambahan information gain yakni sebesar 0,81.

 

Abstract

Nowadays people tend to order airplane tickets through online booking sites. Pegipegi.com is a website that provides ticket reservations and a review section for visitors to express their opinions. Other visitors who read the reviews can get a more objective picture of airlines. The user reviews contained on the pegipegi.com website are currently very large so this makes it difficult and time consuming to read in its entirety. Therefore sentiment analysis is designed to help classify reviews into positive or negative categories so that they can provide airline recommendations based on the number of review categories. The method applied for sentiment classification is Naïve Bayes with the Information Gain feature selection. The purpose of this study was to determine the effect of selecting the Information Gain feature on classification accuracy and prove that the Naïve Bayes method with Information Gain can be used for the classification of sentiment analysis. The results of the tests that have been done show that the average value of accuracy, precision, recall after adding Information Gain shows better results of 0.865 compared to the addition of information gain which is equal to 0.81.
Deteksi Objek menggunakan Dashboard Camera untuk Sistem Peringatan Pencegah Kecelakaan pada Mobil
Authors: Sutjiadi Raymond , Pattiasina Timothy John
Published: June 2020

Saat ini penggunaan dashboard camera marak digunakan pada mobil untuk merekam kondisi sekitar kendaraan ketika berkendara. Dashboard camera adalah semacam kamera yang ditempatkan pada bagian dashboard mobil dengan kamera menyorot ke arah depan kendaraan yang berfungsi untuk merekam kondisi jalan. Di lain pihak, pada mobil premium saat ini sudah disematkan beberapa teknologi canggih untuk mencegah terjadinya kecelakaan atau tabrakan yang biasa disebut dengan Forward Collision Warning System. Teknologi ini pada dasarnya berfungsi untuk mencegah terjadinya tabrakan dari arah depan, baik dengan cara aktif ataupun pasif. Pada penelitian ini akan dibuat sebuah sistem terintegrasi dimana dashboard camera, yang diimplementasikan menggunakan kamera smartphone berbasis Android, tidak hanya digunakan untuk perekaman secara statis, tetapi juga digunakan untuk membuat sistem pencegah kecelakaan secara pasif. Adapun aplikasi ini dibuat dengan menggunakan metode pengolahan citra digital untuk mendeteksi keberadaan objek di depan mobil dengan menggunakan Tensorflow Open Source Machine Learning Library. Dari hasil pengujian tampak bahwa aplikasi ini mampu mendeteksi objek kendaraan berupa mobil penumpang, bus, dan truk, serta dapat memberikan peringatan baik secara visual maupun alarm apabila kendaraan di depan sudah berada pada jarak yang cukup dekat untuk memperingatkan pengemudi akan bahaya tabrakan. AbstractNowadays dashboard camera becomes familiar to be used in a car to record the condition around the vehicle while driving. Dashboard camera is a video camera placed in car’s dashboard faces in front of the vehicle to record the road condition. In the other side, premium cars now equipped with advanced technology to prevent collision called Forward Collision Warning System. This technology basically acts to prevent front collision, either in active or passive ways. In this research was built integrated system where dashboard camera, which implemented by camera of Android based smartphone, not only used as static recording, but also as passive collision avoidance system. This application was developed using Object Detection Method in Tensorflow Open Source Machine Learning Library. The research stage was started from problem analysis, literature study to search comparison from previous research, also software development and finalized with testing to measure system performance. From the testing result, this application was able to detect vehicle objects in form of passenger car, bus, and truck, also could provide both visual and alarm warning when there was a vehicle come closely from in front, to warn the driver about the danger of collision.
Game Edukasi Pengenalan Hewan Langka Berbasis Android Menggunakan Construct 2
Authors: Damayanti Damayanti , Akbar Muhammad Fadil , Sulistiani Heni
Published: June 2020

Negara Indonesia memiliki kepulauan yang sangat luas dari daratan sampai pegunungan. Wilayah dalam kepulauan Indonesia terdapat flora dan fauna serta mikroba yang bermacam-macam. Habitat hewan di Indonesia mulai mengalami kepunahan, ini terjadi karena rusaknya habitat tempat tinggal hewan tersebut. Seiring dengan kepunahan hewan langka di Indonesia dan minimnya pengetahuan anak akan hewan-hewan langka khas daerah Indonesia serta kurangnya media pengenalan hewan langka. Maka penting dibuat game edukasi pengenalan hewan langka berbasis Android agar pengetahuan anak-anak dan masyarakat tentang hewan langka semakin meningkat. Penelitian ini menggunakan metode pengembangan sistem agile dan model UML (Unified Modelling Language). Tujuan dalam penelitian ini yaitu membangun sebuah game edukasi pengenalan hewan langka berbasis android yang memberikan edukasi sambil bermain dan dapat diakses melalui smartphone. Pembuatan game edukasi menggunakan construct2 menjadi lebih mudah karena memiliki tools yang khusus dirancang untuk pembuatan game. Berdasarkan pengujian aplikasi game edukasi pengenalan hewan langka ini dapat membantu memperkenalkan hewan langka kepada masyarakat khususnya pada anak-anak, dengan perolehan presentasi penilaian pengujian sebesar 93,21%. AbstractThe country of Indonesia has very wide islands from land to mountains. Areas in the Indonesian archipelago have diverse flora and fauna and microbes. Animal habitats in Indonesia are beginning to become extinct, this occurs because of the destruction of the habitat where the animals live. Along with the extinction of rare animals in Indonesia and the lack of knowledge of children about rare animals typical of the Indonesian region and the lack of media for the introduction of rare animals. So it is important to make an Android-based rare animal recognition education game so that children's knowledge and society about endangered animals increases. This study uses the agile system development method and the UML (Unified Modeling Language) model. The purpose of this study is to build an educational game for the introduction of rare animals based on android that provides education while playing and can be accessed via a smartphone. Making educational games using construct2 is easier because it has tools specifically designed for game creation. Based on the testing of this rare animal recognition educational game application, it can help introduce rare animals to the public, especially to children, with the acquisition of test rating presentations at 93.21%.
Pengembangan Sistem Penilaian Kematangan Tandan Buah Segar Kelapa Sawit menggunakan Citra 680 dan 750 NM
Authors: Setiawan Agung Wahyu , Ananda Alfie R.
Published: June 2020

Salah satu permasalahan utama dalam industri kelapa sawit adalah proses sortasi Tandan Buah Segar (TBS) di pabrik kelapa sawit. Parameter yang digunakan dalam sortasi TBS adalah jumlah brondolan kelapa sawit. Pada saat ini, sortasi dilakukan oleh grader yang bersifat subyektif dan sering kali tidak konsisten. Hal ini terjadi karena keterbatasan penglihatan dan kemampuan manusia untuk mengolah informasi jumlah brondolan setiap TBS dalam waktu yang terbatas. Oleh karena itu, pada penelitian ini dikembangkan sistem penilaian kematangan TBS kelapa sawit berbasis spektroskopi dan nilai kontras citras. Sumber cahaya yang digunakan pada penelitian ini adalah lampu berjenis Light-emitting Diode (LED) dengan panjang gelombang 680 dan 750 nm. Akuisisi citra TBS dilakukan dengan menggunakan kamera DSLR yang telah dimodifikasi. sehingga diperoleh dua citra TBS pada panjang gelombang 680 dan 750 nm. Kemudian, dilakukan perhitungan nilai kontras kedua citra tersebut. Dalam penelitian ini, terdapat 24 TBS yang digunakan sebagai data latih, dengan komposisi 10 TBS matang dan 14 TBS mentah. Data uji yang digunakan berjumlah 77 TBS yang terdiri dari 38 matang dan 39 mentah. Pada penelitian ini, Support Vector Machine (SVM) digunakan sebagai metode klasifikasi. Akurasi data latih yang diperoleh adalah 66,67%. Sedangkan akurasi data uji dari sistem yang dikembangkan dalam penelitian ini adalah 57,14%. Hasil yang diperoleh ini masih perlu diperbaiki untuk meningkatkan akurasi sistem dengan cara menambah jumlah data, baik data latih maupun uji, serta menggunakan pembelajaran mesin. AbstractOne of the main problems in the palm oil industry is the grading of Fresh Fruit Bunches (FFB) in the palm oil mills. The parameter used for the process is the number of fruitlets detached from the bunch. Nowadays, the FFB grading is conducted by graders which is subjective and often inconsistent due to the limitation of human vision and ability to process information on the number of fruitlets detached per FFB in a very limited time. Therefore, this study developed a grading system to assess and estimate the FFB maturity based on spectroscopy and image contrast value. From the literature review, visible light and NIR spectrum in 680 and 780 nm can be used as light sources to detect the maturity level of FFB. DSLR camera is used to acquire the FFB image. Using this scheme, two FFB images in 680 and 750 nm are obtained. The next process is to calculate the image contrast. In this research, there are 24 FFB that are used as training data that consists of 10 ripe and 14 unripe. A total of 77 FFB are used as test data that consists of 38 ripe and 39 unripe. Support Vector Machine (SVM) is used in this research to classify the maturity level of FFB. The accuracy of the training dataset is 66.67%. Meanwhile, the accuracy of the test data is 57.14%. Future works will focus on enhancing accuracy of the system through increasing the number of training and testing data using machine learning.
Knowledge Management System Berbasis Web tentang Budidaya Hidroponik untuk Mendukung Smart Society
Authors: Wardhana Ariq Cahya , Nurhadryani Yani , Wahjuni Sri
Published: June 2020

Meningkatnya jumlah populasi penduduk di Indonesia berdampak pada terbatasnya luas wilayah pertanian di Kota Bogor yang mengakibatkan ancaman produksi pertanian karena konversi lahan persawahan sebesar 88,12% menjadi perumahan dan kebun. Solusi sistem produksi pertanian dengan terbatasnya lahan salah satunya adalah hidroponik. Untuk meningkatkan pengetahuan budidaya hidroponik dan memudahkan akses fasilitas belajar digital sebagai bagian penting dari rencana pemerintah Kota Bogor yaitu smart society diperlukan dukungan teknologi informasi. Penelitian ini bertujuan mengembangkan Knowledge Management System (KMS) budidaya hidroponik dengan mengadopsi metode Knowledge Management Life Cycle melalui identifikasi pengetahuan tacit maupun explicit dari komunitas hidroponik. Proses menangkap pengetahuan berorientasi pada seluruh proses budidaya sayuran hidroponik dengan menggunakan bibit yang siap tanam. Knowledge map digunakan untuk kodifikasi pengetahuan menghasilkan 34 pengetahuan explicit berupa media interaktif video maupun dokumen yang dapat digunakan oleh pengguna. Implementasi sistem menggunakan aplikasi berbasis Web dengan pendekatan object oriented yang sudah diuji oleh pakar dan semua fungsi berjalan dengan baik. Sistem ini memiliki fitur klasifikasi KMS yaitu knowledge capture, knowledge sharing, serta knowledge discovery. AbstractThe increasing number of populations in Indonesia has an impact on the limited area in Bogor, which has resulted in the threat of agricultural production because of the conversion of 88.12% of paddy fields to housing and gardens. A solution to agricultural production systems with limited land, one of which is hydroponics. Facilitate access to digital learning facilities as an essential part of the plan of the Bogor City government, namely smart society, information technology support is needed as a means of sharing hydroponic cultivation knowledge. Based on this, we developed a knowledge management system (KMS) adopting the Knowledge Management Life Cycle method by identifying tacit and explicit knowledge from the hydroponic community. The process of capturing knowledge is oriented to the whole process of hydroponic vegetable cultivation by using seeds that are ready for planting. Knowledge map is used for codification of knowledge that produces 34 explicit knowledge in the form of interactive media in the form of videos and documents that can be used by user. The output generated from this study is KMS was implemented using Web-based applications with an object-oriented approach that has been tested by experts with system functions is working and has KMS classification features, namely knowledge capture, knowledge sharing, and knowledge discovery.
Optimasi DF Berbasis Posisi Jendela Menggunakan Estetika Asimetris
Authors: Rizal Yose , Robandi Imam , Yuniarno Eko Mulyanto
Published: June 2020

Jendela merupakan elemen arsitektur yang berfungsi memasukan pencahayaan alami dari luar kedalam bangunan. Distribusi pencahayaan siang yang merata masuk kedalam ruangan dapat meminimalkan penggunaan pencahayaan buatan. Penelitian ini dilakukan untuk mencari optimasi posisi jendela dengan pendekatan kepada distribusi jarak daylight factor (DF) dan estetika komposisi spasial. Analisis dilakukkan berdasarkan kualitatif distibusi DF pada ruangan terhadap posisi bukaan jendela secara estetika komposisional beradasarkan grafik teori kecocokan represetasional. Tahap fitting dan normalisasi pada nilai daylight factor dan estetika asimetri dari teori kecocokan represetasional merupakan langkah awal untuk mendapatakan optimasi nilai faktor yang nantinya akan diberikan suatu nilai faktor bobot ( ) untuk kedua variabel. Hasil studi di dapat  posisi jendela paling optimal berada pada posisi jarak 23% dari lebar bidang dinding bukaan jendela terhadap sisi jendela bagian dalam, dimana nilai faktor bobot  = 0,5. Optimasi dengan menggunakan nilai  dapat digunakan arsitek untuk menentukkan distribusi DF, estetika asimetri atau bahkan keduanya. AbstractThe window is an architectural element that functions to incorporate natural lighting from outside into the building. Even daylight distribution into the room can minimize the use of artificial lighting. This research was conducted to find window position optimization by approaching the daylight factor (DF) distance distribution and spatial composition aesthetics. The analysis was carried out based on the qualitative distribution of DF in the room to the position of the window opening aesthetically compositional based on a graph of the theory of repetational compatibility. The fitting and normalization phase of DF values and the asymmetry aesthetics of the repetational match theory are the first step to get an optimization of the factor values which will be given a weight factor value (α) for both variables. The results of the study in the most optimal window position can be located at a distance of 23% from the width of the window opening wall area to the inner side of the window, where the weight factor value α = 0.5. Optimization using the  can be used by architects to determine the distribution of DF, asymmetry aesthetics or even both.
Peptidyl Acyloxymethyl Ketones as Activity-Based Probes for the Main Protease of SARS-CoV-2
Authors: Van de Plassche Merel , Barniol-Xicota Marta , Verhelst Steven
Published: June 2020

The global pandemic caused by SARS-CoV-2 calls for a fast development of antiviral drugs against this particular coronavirus. Chemical tools to facilitate inhibitor discovery as well as detection of target engagement by hit or lead compounds from high throughput screens are therefore in urgent need. We here report novel, selective activity-based probes that enable detection of the SARS-CoV-2 main protease. The probes are based on acyloxymethyl ketone reactive electrophiles combined with a peptide sequence including non-natural amino acids that targets the non-primed site of the main protease substrate binding cleft. They are the first activity-based probes for the main protease of coronaviruses and display target labeling within in a human proteome without background. We expect that these reagents will be useful in the drug development pipeline, not only for the current SARS-CoV-2, but also for other coronaviruses.
Targeting SARS-CoV-2 Main Protease by Teicoplanin: A Mechanistic Insight by in Silico Studies
Authors: Azam Faizul
Published: June 2020

First emerged in late December 2019, the outbreak of novel severe acute respiratory syndrome corona virus-2 (SARS-CoV-2) pandemic has instigated public-health emergency around the globe. Although available medications can only alleviate few symptoms like difficulty in breathing, the world is craving to identify specific antiviral agents or vaccines against SARS-CoV-2. Teicoplanin is a glycopeptide class of antibiotic which is regularly used for treating Gram-positive bacterial infections, has shown potential therapeutic efficacy against SARS-CoV-2 in vitro. Therefore, in this study, a mechanistic insight of intermolecular interactions between teicoplanin and SARS-CoV-2 main protease has been scrutinized by employing molecular modelling approaches. Molecular docking study was carried out by three different docking programs including AutoDock4, AutoDock Vina and Dock6. The dynamic and thermodynamics constraints of docked drug in complex with target protein under specific physiological conditions was ascertained by all-atom molecular dynamics (MD) simulation study. Root mean square deviation of carbon α chain exhibited uniform value in the range of 1-1.7 Å while root mean square fluctuations were also recorded below 1.72 Å, justifying the stability of the bound complex in biological environments. Key interacting residues involved in hydrogen bonds include Thr26, His41, Asn142, Ser144, Glu166, and Gln189. Several water bridges and hydrophobic interactions also anchored docked teicoplanin in the inhibitor binding site. These outcomes are supposed to be fruitful in rational design of antiviral drugs against SARS-CoV-2.
Kinetic Modeling of Ammonia Decomposition at CVD Conditions
Authors: Rönnby Karl , Pedersen Henrik , Ojamäe Lars
Published: June 2020

Kinetic modeling has been used to study the decomposition chemistry of ammonia at a wide range of temperatures, pressures, concentrations, and carrier gases mimicking the conditions in chemical vapor deposition (CVD) of metal nitrides. The modeling show that only a small fraction of the ammonia molecules will decompose at most conditions studied. This suggests that the high NH3 to metal ratios often employed in CVD is due to the very low amount of reactive decomposition products rather than due to rapid decomposition of ammonia into stable dinitrogen and dihydrogen as suggested by purely thermodynamic models.
Effect of Surface Chemistry on IAPP Conformation
Authors: Cheung David
Published: June 2020

The formation of dense, linear protein arrays (fibrils) is the hallmark of a number of degenerativediseases, such as Alzheimer’s and type-2 diabetes. Protein fibrils have also attracted interestas building blocks for new materials. It has long been recognised that surfaces can a↵ect thefibrillation process. Recent work on the model fibril forming protein human islet polypeptide(hIAPP) has shown that while the protein concentration is highest at hydrophobic surfaces, therate of fibril formation is lower than on other surfaces. To understand this, replica exchangemolecular dynamics simulations were used to investigate the conformations that hIAPP adopts onsurfaces of di↵erent hydrophobicity. The hydrophobic surface stabilizes ↵-helical structures, whichare quite di↵erent to those found on the hydrophilic surface and in bulk solution. There is alsoa greatly reduced conformational ensemble on the hydrophobic surface, due to long-lived contactsbetween hydrophobic residues on the protein and the surface. This new microscopic informationwill help us determine the mechanism of the enhancement of fibril formation on surfaces.
Simulating impairment through virtual reality
Authors: McIntosh Jacqueline , Marques Bruno , Harkness Robyn
Published: June 2020

Research on architectural technology for health care has rapidly increased in recent years; however, little research has been conducted on the use of virtual reality for simulating impairment. This exploratory research maps the experiences of people with impairments in the often-overlooked corridors and waiting rooms of an emergency department. It questions whether the experience of an impairment can be usefully simulated for empathetic design. While using participatory processes to develop a virtual reality simulation of waiting areas, this research applies three representative impairments and then surveys 30 architectural designers to find the emotional responses of the unimpaired to the design intervention. While this research is preliminary, it is particularly valuable for the comprehension of proposed designs during the early planning and design phases, without costly and time-consuming use of full participatory processes. It finds there is significant potential for the use of virtual reality as a technology to simulate the experiences of these spaces by individuals with impairment, enabling empathetic design, and offers direction for future research.
Designing Schools for Children with Impairments: The Powers of Architecture
Authors: McIntosh Jacqueline , Marques Bruno , Lim Joelle
Published: June 2020

© 2019 Common Ground Research Networks, Jacqueline McIntosh, Bruno Marques, Joelle Lim, All Rights Reserved. Education is an important foundation of society yet children with impairments have limited opportunities for participation in school activities. There is a lack of functionality in the design of school spaces and outdoor play areas for children with impairments, arguably as there are insufficient performance guidelines that target the body condition of children with impairments. Architectural barriers that prevent a child's participation in school can decrease their quality of life, often resulting in the further deterioration of their health. This research explores existing knowledge across disciplines aimed at promoting and facilitating impaired children's physical and mental resilience and well-being in a school environment. The research method involves systematic evaluation of the current school design knowledge surrounding the creation of learning environments that target children with impairments and proposes a set of performance-based design criteria. It finds that there is a lack of health research examining the usefulness of classroom and play spaces for children with impairments, which prohibit an ideal learning environment for children with multiple impairments. In addition, it finds a demand for greater integration of outdoor play with education, which in turn can make participation within schools more enjoyable.
Healing spaces: improving health and wellbeing for the elderly through therapeutic landscape design
Authors: Marques Bruno , McIntosh Jacqueline , Kershaw Chelsea
Published: June 2020

Existing research supports a wide range of positive effects for physical, mental and social wellbeing from outdoor exercise, particularly through engagement with nature, however few current landscapes facilitate exercise participation and efficacy for older persons and often require targeted design refinement to foster accessibility, inclusivity and sociability. In order to identify how therapeutic landscape design can be developed to best assist older persons' health and wellbeing, epidemiological data, injury statistics, and currently available outdoor fitness equipment that is specifically marketed for use by older persons were examined. A number of problematic design issues were identified including poor equipment design; failure to integrate cognitive tasks; and minimal integration of safe, age and ability-specific elements. This paper advocates rekindling the connection to public green space in order to foster disability prevention and promote rehabilitation in older persons. The incorporation of design elements that specifically address elements of prevalent morbidities and concerns, such as psychological restoration, stress reduction, attention recovery, the health and wellbeing of older persons in the community could be improved. Age-specific design suggestions include integrating interactive landscapes with ecological regenerative planning to assist with the prevention of common morbidities in older persons.
Pedagogical modeling in the activities of a teacher and a scientific and pedagogical worker
Authors: Kozyreva O. A.
Published: June 2020

Introduction. Pedagogical modeling determines the possibilities of clarifying the used scientific knowledge by teachers in the system of lifelong education and creating new scientific knowledge as a product of theorization, development of anthropologically determined relationships and focused on innovative and productive functioning of environments. The problem of using and encouraging teachers to solve problems using pedagogical modeling is of interest from the s tandpoint of the formed professional skill and scientific and pedagogical activity.Materials and methods. Theoretical and empirical research methods were used in the structure of the work: analysis, synthesis, generalization, comparison, comparison, scientific theorization, study of the work of teachers and student students, registration method, methods of mathematical statistics. The fundamentals of the determination and refinement of the conceptual apparatus were determined in the constructs of the traditional pedagogical methodology (broad, narrow, local meanings) and in the constructs of the innovative pedagogical methodology (adaptive-productive meaning, functional-labor meaning, epistemological-personalized meaning).Results. Pedagogical modeling is determined in the context of the fulfillment of professional and labor functions – in the teacher’s activities, the practice-oriented use of pedagogical modeling predominates, in the activities of the scientific and pedagogical worker there are practical and science-based possibilities of pedagogical modeling. Pedagogical modeling is determined by the resource of personality development and the formation of a culture of individual personality work. In the structure of theorizing the quality of solving problems of forming a culture of independent work of an individual, pedagogical modeling ensures the success of achieving defined and implemented goals of an individual’s activity. Pedagogical modeling is determined by the element and construct of the formation of productivity and success of a person. The system of lifelong education reveals the orientation of the student’s personality development in the context of the formed meanings and technologies of training and education.Discussion and Conclusions. Pedagogical modeling in the professional activity of a teacher and a scientific and pedagogical worker has a general system of theorizing results, but different directions and constructs of creating new didactic and professional pedagogical knowledge. The quality of using pedagogical modeling reveals the prospects for the development of the individual, lifelong education and society as a whole.
Indicators of psychological stability of the individual to sociocultural threats and negative information impact
Authors: Kislyakov P. A. , Meyerson I.-L. S. , Egorova P. A.
Published: June 2020

Introduction. The article analyzes the problem of psychological stability of the individual to socio-cultural threats and negative information impact. As social problems become more acute, the topic of personal security and resistance to emerging threats and risks takes an increasing place in the scientific literature. Today we can observe various violations of the processes of socio-cultural identification, which reduce the adaptive potential of the individual. The reverse side of accessibility in the global information environment is an increase in the degree of danger, the emergence of new risk factors and threats of information and psychological impact. Of particular concern are the facts of Russian youth joining terrorist groups, as well as the facts of youth involvement in destructive protest movements and actions.Materials and methods. The following methods were used for the preparation of this article; theoretical analysis of Russian and international literature, study of scientific articles and publications on the topic, overview of results from Russian and international studies, content analysis.Results. Approaches to determining the content of the category of psychological stability of a person and its various aspects are considered: emotional stability, moral stability, moral stability, stability of behavior forms, resistance to addictive factors, and socio-cultural stability. Identify invariant indicators that determine the psychological stability of the individual in various contexts of countering socio-cultural threats and negative information impact: socio-cultural identity based on views, beliefs, attitudes consistent with moral norms and spiritual values; motivation of the individual to self-actualization, success, openness and commitment to society; subjective well-being and resilience; critical thinking and the ability to predict risks and threats; possession of constructive coping strategies; adaptive personal potential expressed in mastering self-regulation methods that ensure successful adaptation to a changing socio-cultural environment.Discussion and Conclusions. The conducted theoretical research allowed us to conclude that the psychological stability of a person is a complex and multidimensional phenomenon, which is revealed in the moral, socio-psychological and system-activity perspective. It is concluded that the task of forming psychological stability and personal adaptive potential should be updated in the educational system, including the formation of knowledge about oneself as a person, about their psychological capabilities and mechanisms of self-regulation, and the explanation of moral norms and values.
Psychological nature of intelligence officer
Authors: Naumov P. Yu. , Povshednaya F. V.
Published: June 2020

Introduction. Based on modern social trends, the demand becomes not only for professionally trained people, but also for the level of their general culture, value system and, ultimately, intelligence. At the same time, there is no place for intellectuals and educating intellectuals in program documents on educational activities, although this task is very logical for the pedagogical practice of a developed society. This work presents the experience of the author's analysis of the psychological nature of the intelligence of an officer. Consistently considering the essence and structure of such a complex phenomenon, the structure and the real functioning of the values that allow characterizing the subject as an intellectual are ascertained.Materials and methods. As the main research methodology, the authors use sociological (I.S. Kon), culturological adapted to solve the problems of this work (M.S. Kagan), historiographic (A.V. Popov), systemic (I.V. Blauberg, V.A. Lektersky, V.N. Sadovsky, S.L. Rubinstein, M.S. Kagan, N.V. Kuzmina) and functional approaches (P.K. Anokhin, M.S. Kagan, N. Wiener). The main research methods were: hypothetical-deductive method; analysis, synthesis, comparison, analogy and abstraction; systemic method and modeling.Results. The result of the study is that the authors identified and justified the structural psychological qualities of intelligence as the subjective characteristics of an officer and examined the basic mechanisms of formation of intellectual values.Discussion and Conclusions. The required criteria for being intelligent as a  subject characteristics of an officer is the level of education (self education)of an officer, his manners, the scope of his values , existential assessment –correlating every fact he faces with general life-span problems of objective reality, having respect for values of others and being ready for talk to employees and  superiors as well as the representatives of other social groups, other cultures, nationalities, confessions and professions which requires dialog in search of optimal forms and options of interaction. The cornerstone principle for intelligence of the officer are, therefore, his education and upbringing, ideological conviction in his own values and readiness for self-sacrifice for their sake.
Electronic education system as an instrument of increasing the specialist's competitiveness in digital economy
Authors: Malushko E. Yu. , Lizunkov V. G.
Published: June 2020

Introduction. The article describes the e-education system, modern e-learning tools and their role in enhancing the competitiveness of a graduate of a modern educational institution, in particular, concerns applying graduate’s competences in modern conditions of the territories of advanced social and economic development.Materials and methods. The author considers the competency-based characteristics of the involved teacher, diverse electronic educational resources and their types, their advantages and certain disadvantages, as well as their prospects in the perspective of the educational subject.Results. Great importance is given to the motivation of the specialist, including educational and cognitive aspects. Potential competitiveness directly depends not only on the educational and cognitive motivation that drives the learning process and allows the specialist to acquire the maximum amount of specialty-related knowledge and skills, but also on the professional one, which provides the professional orientation.Discussion and Conclusions. The social significance and the prospect of implementing electronic education system in Russian reality, especially in the context of economic, geographical and social inequality at the territories of advanced social and economic development, are revealed. Elements of e-education, adequately integrated into the vocational training system, are able to provide increased competitiveness and adaptability of a specialist in the digital economy.
ПІДХІД ЩОДО ФОРМУВАННЯ МЕРЕЖІ ЗАРЯДНИХ СТАНЦІЙ ЕЛЕКТРОМОБІЛІВ У НАПРЯМКУ ХАРКІВ-БЕРДЯНСЬК
Authors: Liubyi Ye. , Larin D.
Published: June 2020

Предметом вивчення в статті є мережа електричних зарядних станцій у напрямку Харків - Бердянськ. Метою дослідження є розробка підходу по визначення місць розташування швидких електричних зарядних станцій. Завдання дослідження: проаналізувати сучасний український парк електромобілів і існуючу мережу зарядних станцій; проаналізувати існуючі підходи щодо формування ефективних мереж електричних зарядних станцій; розробити підхід щодо формування мережі зарядних станцій при русі в міжміському сполученні, який буде враховувати можливості переважної більшості парку електромобілів в Україні; разробити практичні рекомендації щодо вибору місць розташування швидких електричних зарядних станцій при русі в напрямку Харків – Бердянськ. Отримані наступні результати: розроблено підхід до вибору місць розташування швидких електричних зарядних станцій в напрямку Харків - Бердянськ, який заснований на визначенні граничної відстані, що долається електромобілем на одному повному заряді акумулятора; запропоновані місця для розміщення швидких зарядних станцій
ДОСЛІДЖЕННЯ ЗАХИСНИХ ВЛАСТИВОСТЕЙ МЕТАЛЕВИХ ЕЛЕКТРОМАГНІТНИХ ЕКРАНІВ ТА ВИЗНАЧЕННЯ УМОВ ЇХ МАКСИМАЛЬНОЇ ЕФЕКТИВНОСТІ
Authors: Panova O.
Published: June 2020

На основі аналізу даних про екранування електромагнітних полів наднизьких та ультрависоких частот будівельними та облицювальними матеріалами зроблено висновки, що найбільш доцільним з технічних та економічних міркувань є облицювання захисними матеріалами внутрішніх поверхонь будівель. Наведено коефіцієнти екранування розробленими металополімерними матеріалами електромагнітних полів різних частот. Для електромагнітних полів частотами 2,4-2,6 ГГц коефіцієнти екранування складають 2,44 (за товщини екрана 5 мм) та 3-52 (за товщини екрана 10 мм). Коефіцієнти відбиття складають 0,06-0,32. Зміна концентрації феромагнітної субстанції становить 5-20 % (за вагою). За таких умов зниження напруженості магнітного поля промислової частоти складають 1,2-15,0 (за товщини екрана 5 мм) та 2,3-38,0 (за товщини екрана 10 мм). Наведено порядок оцінювання ефективності екранування високочастотного екранованого поля тришаровою структурою, виходячи зі значення діелектричної проникності несучого матеріалу та мінімальної довжини електромагнітної хвилі діапазону екранованого поля. Для одночасного екранування магнітного поля промислової частоти провідний шар повинен бути феромагнітним. Для цього можна застосувати металополімер з великою концентрацією залізорудного концентрату
ОПТИМІЗАЦІЙНА МОДЕЛЬ МАРШРУТИЗАЦІЇ ЧУТЛИВОГО ДО ЗАТРИМОК ТРАФІКА В ІНФОКОМУНІКАЦІЙНИХ МЕРЕЖАХ
Authors: Lemeshko O. , Yevdokymenko M. , Yeremenko O.
Published: June 2020

У роботі запропоновано вдосконалену оптимізаційну модель маршрутизації чутливого до затримок трафіка в інфокомунікаційних мережах. Новизною моделі є використання критерію оптимальності, що пов'язаний з мінімізацію середньої міжкінцевої затримки пакетів. В основу зазначеного критерію оптимальності покладено математичний вираз, який дозволяє аналітично розрахувати середню міжкінцеву затримку з урахуванням характеристик мережного трафіка, типів дисциплін обслуговування пакетів на маршрутизаторах інфокомунікаційної мережі, пропускних здатностей каналів зв’язку. Також отримано умови забезпечення якості обслуговування за середньою міжкінцевою затримкою пакетів для будь-якого виду трафіка в умовах реалізації як одношляхової, так і багатошляхової маршрутизації. Отримати зазначені результати вдалося на підставі тензорного моделювання інфокомунікаційної мережі, коли тензори основних QoS-показників та метричні тензори розглядались у двох системах координат: гілок мережі та незалежних міжполюсних шляхів і внутрішніх вузлових пар. Дослідження та порівняльний аналіз з іншими маршрутними рішеннями підтвердили більш високу ефективність удосконаленої моделі за показником середньої міжкінцевої затримки пакетів, що є важливим для чутливого до затримок трафіка, особливо в умовах високих навантажень на інфокомунікаційну мережу
ЗАВАДОСТІЙКІСТЬ МОБІЛЬНИХ ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМ
Authors: Serkov A. , Trubchaninova K. , Lazurenko B.
Published: June 2020

Предметом вивчення є процеси забезпечення завадостійлості мобільних телекомунікаційних систем на грунті надширокосмугових сигналів з високою інформаційною ємністю. Мета – розробка рекомендацій щодо забезпечення завадостійкості надширокосмугової системи зв’язку при передачі дискретних повідомлень каналом зв’язку з адитивним гаусовим шумом. Задача – забезпечення усталеної та надійної роботи надширокосмугової системи зв’язку. Використані методи: методи аналітичного моделювання та теорії потенціїної завадостійкості. Отримані наступні результати. Розроблено критерій забезпечення завадостійкості мобільних телекомунікаційних систем. На грунті теорії потенціальної завадостійкості показана можливість усталеної та беззавадової роботи телекомунікаційної безпроводової системи в умовах, коли рівень інформаційного сигналу та шуму мають одне значення. Доведена можливість вилучення переданого інформаційного сигналу із суміші шуму та корисного сигналу шляхом кореляції прийнятого та опорного сигналів. Показана можливість розрізнення двох сигналів на фоні шуму, які найбільш імовірно було передано та прийнято по каналу зв’язку з білим гаусовим шумом. Висновки. Показано, що використання технології надширокосмугових сигналів дозволяє здійснити безпроводову приховану передачу інформації з малою потужністю випромінювання. Причому велика база сигналу B  2.5 дозволяє забезпечити усталену та беззавадову роботу телекомунікаційної системи за умов, коли рівень інформаційного сигналу знаходиться на рівні (q = 1) чи нижче рівня шуму. При цьому доведена можливість вилучення як корисного сигналу із суміші сигналу та шуму, так і визначення з подальшим вилученням одного вірогідного сигналу із суміші двох повністю відомих сигнала s0(t), s1(t) із білим гаусовим шумом
Capabilities to Use Plants Grown in Wetlands of Erzurum for Landscape Design
Authors: TURGUT Hilal , YILMAZ Sevgi
Published: June 2020

Based on how a wetland is defined by the Ramsar Convention, the Erzurum province is a rich region in terms of wetlands. This study aimed to identify capabilities to use wetland plants, which are grown in running waters (rivers, streams, brooks, and estuaries), temporary wetlands, swamp lakes, and high-water table area located within the provincial confines of Erzurum, for landscape design. As a part of the study, the samples were taken from a total of 287 spots in 6 main locations to identify wetland plants. A survey was conducted for the plants identified with 100 students educated in the Department of Landscape Architecture. Plants were evaluated with their aesthetic properties such as their color, form, tissue, richness, and fascination. Based on the survey, it was concluded that 36 of them could be used for landscape architecture on grounds of their aesthetic characteristics.
SURVEY ON CONSUMER USER SATISFACTION THROUGH 5G NETWORK MEDICAL SYSTEM
Authors: Lin Li-Wei , Gan Su-Mei , Teng Yu -Xin
Published: June 2020

This study focuses on the design of the 5G telemedicine monitoring platform. We use a questionnaire survey to investigate the patient's perception of the system. We found and explored some of the patients in the rural areas, patients with mobility problems to the hospital, to solve their problems and convenience. The results show that the 5G telemedicine monitoring system is established to build the interaction and monitoring benefits for the hospital and patients, and further to achieve its monitoring goals and treatment.