bluuebunny/crossref_metadata_2025 huggingface dataset:
Design e Tecnologia: Contribuições do uso do sistema de captura de movimentos por sensores inerciais (Xsens) no processo de desenvolvimento de projetos centrado no ser humano
Authors: Irandir L. Paulo , A. D. Merino Eugenio
Published: February 2023

Contextualização: As tecnologias vêm se tornando cada vez mais presentes na vida dos seres humanos, com isso, surge a demanda para a atuação dos designers relacionada à interação usuário/tecnologia, como exemplo da análise do movimento humano.

Face a isso, destaca-se o Sistema de Captura de Movimentos (MoCap) caracterizado como um conjunto de ferramentas capazes de mapear e reproduzir movimentos de objetos e/ou

seres vivos dentro do espaço-tempo e representá-los digitalmente em 3D. Nesse cenário, o Design Centrado no ser Humano (DCH) vem se tornando fundamental para os projetos de Design, por meio do levantamento preciso de dados, em tempo e situação real, permitindo análises mais precisas sobre o ser humano e seu contexto de trabalho e vida. Problemática: A partir das buscas realizadas na literatura foi verificada a escassez referente aosestudos do uso do Sistema de Captura de Movimentos por sensores e inerciais associados à área do design e tecnologia. Objetivo: Diante disso, esta pesquisa teve como objetivo identificar mediante um estudo multicasos,

as contribuições do uso do Sistema de Captura de Movimentos por sensores inerciais (Xsens) no processo de desenvolvimento de projetos de Design Centrado no ser Humano.

Procedimentos Metodológicos: Para tanto, realizou-se uma pesquisa de natureza aplicada, objetivos exploratórios e descritivos, e abordagem qualitativa. A pesquisa foi dividida em duas fases: FASE 1 – Fundamentação teórica; FASE 2- Estudo multicasos. Quanto aos seus

procedimentos técnicos, esta pesquisa foi compreendida como bibliográfica. Resultados: Como resultados, ficou verificado um grande potencial de aplicabilidade do Sistema de Captura de Movimentos por sensores inerciais (Xsens), sendo de possível aplicação dentro e fora do ambiente laboral. A possibilidade de uso como instrumento de auxílio no processo de desenvolvimento de projetos de Design (produtos, serviços e/ou ambientes) seguindo a abordagem de Design Centrado no ser Humano. Assim como sua contribuição para as análises e avaliações

relacionadas ao sujeito e seu ambiente de trabalho permitindo a identificação de problemas associados à Saúde e desenvolvimento de soluções de projetos.
Implementação de gestos manuais - mouse controlado usando inteligência artificial
Authors: Piyush Pilare , Mahato Coral , Khergade Chanchal , Agrawal Shubham , Thakre Prasheel
Published: February 2023

Este artigo apresenta uma proposta de sistema de mouse. Neste artigo, discutimos a implementação de um mouse artificialmente inteligente controlado por gestos manuais que usa visão computacional para executar funções do mouse usando a técnica de detecção de cores. O mouse virtual usa os algoritmos atuais de python e visão computacional para o reconhecimento da região mascarada / colorida e funciona perfeitamente sem quaisquer requisitos de hardware extras. Um computador pode ser controlado remotamente usando movimentos manuais e é capaz de executar o movimento do cursor, clicar com o botão esquerdo e clicar com o botão direito do mouse sem a necessidade de um mouse de hardware.
IMPACT OF COVID-19 ON STOCK MARKET PERFORMANCE
Authors: Kothari CA. Haresh
Published: February 2023

The global outbreak of COVID-19 has had a significant effect on the financial markets, mostly as a result of the global lockdown and the decrease in demand. Because of the decline in the price of crude oil, it is now more challenging for people to turn a profit in their businesses. The outbreak of the Corona virus and the subsequent lockdown in the country have both had an impact on the economy of the country. Both the BSE and the NSE are considered to be two of India's most significant stock exchanges (NSE). The implications of COVID-19 for the stock market are investigated in this particular study. The study looks at the Indian stock market both before and after COVID-19 to determine the extent to which the lockdown had an impact on the market. Additionally, it investigates if the reaction of the market was the same both before and after COVID-19. The Nifty 50 index was analyzed both before and after the COVID-19 outbreak to determine how the outbreak affected it.
MAHATMA’S IDEOLOGIES ON AHIMSA AND SATYAGRAHA: THE ETHOS OF NON-VIOLENCE AND ITS LONGING IN THE PRESENT ERA
Authors: Joshi Akash
Published: February 2023

Ahimsa is an important spiritual doctrine shared by Hinduism, Buddhism and Jainism. It literally means ‘non-injury’ and ‘non-killing’. It implies the total avoidance of harming of any kind of living creatures not only by deeds, but also by words and in thoughts. From the Gandhian notion of non-violence, one of the most fundamental questions is that what the importance of Gandhi’s non-violence theory in the present era? Ahimsa and its roots are in Buddhism, Jainism and Hinduism. It is not that only we should use ahimsa of physical, we can take the example of ahimsa of mind that we should not use violence in our thoughts and in our speaking. The researcher will explain ‘Ahimsa’ in the terms of Gandhi’s three monkeys which give us philosophical view point to see, to listen and to speak at the world. Finally, the researchers will focus on how ‘Ahimsa’ works to help to create peace. Ahimsa is not possible in its virtual senses, which will also aim to examine concept from theoretical and practical perspectives. The researchers focus to study ‘Ahimsa’ with reference of Gandhi’s an autobiography My Experiments with Truth.
Rancang Bangun Prototipe Pengatur Beban Pintar Skala Prioritas Berbasis Mikrokontroler
Authors: Paki Alis , Yusuf Taufiq Ismail , Nasibu Iskandar Zulkarnain , Musa Wahab , Dako Amirudin Yunus
Published: February 2023

Penggunaan energi listrik telah menjadi hal yang mutlak, seiring dengan berkembangnya perangkat elektronik. Namun dalam penggunaan energi listrik sering menimbulkan masalah seperti terjadi pemutusan  arus listrik pada seluruh beban oleh pemutus sirkuit akibat beban lebih. Permasalahan tersebut sering terjadi pada penggunaan energi listrik skala rumah tinggal yang memiliki kapasitas daya maksimal 450 watt. Penelitian ini bertujuan untuk merealisasikan hardware dan software prototipe pengatur beban pintar, serta dilakukan pengujian untuk mengetahui keakuratan alat dalam pengukuran dan unjuk kerja alat dalam memproteksi beban. Dalam penelitian ini menggunakan metode eksperimen yang didalamnya terdapat beberapa langkah diantaranya adalah perancangan perangkat keras dan perangkat lunak, serta pengujian alat. Berdasarkan hasil pengujian yang di lakukan, hasil perhitungan persentase eror antara pengukuran alat rancangan dengan alat ukur berstandarisasi untuk beban resistif yaitu total daya beban sebesar 2,10%, tegangan kerja beban sebesar 0,44%, total arus beban sebesar 2,36%, dan total cos phi beban sebesar 0%. Sedangkan untuk beban induktif yaitu total daya beban sebesar 0,38%, tegangan kerja beban sebesar 0%, total arus beban sebesar 0%, dan total cos phi beban sebesar 1,03%. Adapun alat rancangan bekerja sesuai fungsinya dengan memutuskan beban yang bukan prioritas jika terjadi beban lebih dalam pemakaian energi listrik.The use of electrical energy has become an absolute necessity, along with the development of electronic devices. However, the use of electrical energy often causes problems such as a disconnection of electric current in the entire load by a circuit breaker due to overload. These problems often occur in the use of residential-scale electrical energy, which has a maximum power capacity of 450 watts. This study aimed to realize the prototype hardware and software for smart load control, as well as testing to determine the accuracy of the tool in measuring and the performance of the tool in protecting the load. It applied an experimental method in which there were several steps, including the design of hardware and software, as well as tool testing. Based on the results of the tests carried out, the results of the calculation of the percentage error between the measurement of the design tool and standardized measuring instruments for resistive loads, i.e., the total load power of 2.10%, working voltage load of 0.44%, total load current of 2.36%, and the total cos phi load of 0%. As for the inductive load, the total load power was 0.38%, the load working voltage was 0%, the total load current was 0%, and the total cos phi load was 1.03%. The design tool worked according to its function by deciding which load was not a priority if there was an overload in the use of electrical energy.
Kontrol Penerangan Ruangan Dengan Gerakan Tangan Berbasis NodeMCU ESP8266
Authors: Wungkana Tony J. , Sajangbati Nikita , Pairunan Toban T. , Loegimin Benny A.P , Sawidin Sukandar
Published: February 2023

Untuk menyalakan lampu penerangan dalam ruangan masih dilakukan secara manual dengan cara menekan  saklar lampu. Switch merupakan alat listrik untuk menyalakan atau memadamkan lampu. Ada banyak sekali inovasi-inovasi yang dapat di lakukan untuk mempermudah pekerjaan manusia. Salah satunya adalah menggunakan sensor gesture yang diaplikasikan untuk mengganti saklar manual. Sensor gesture adalah suatu komunikasi non-verbal yang mengkomunikasikan pesan-pesan tertentu dengan mendeteksi adanya  pergerakan tangan.  Penelitian ini untuk memfaatkan sensor gesture yang berfungsi sebagai kontrol memutuskan dan menyambungkan aliran listrik tanpa kontak fisik antara pengguna dan perangkat yang dibuat, untuk menyalakan lampu dalam ruangan, sensor gesture mendeteksi pergerakan tangan  ke atas, ke bawah, ke samping kiri dan ke samping kanan. Jika ada pergerakan tangan sebagai sinyal gerak isyarat (gesture.sensor) sebagai masukan dan diolah oleh microcontroller NodeMCU ESP8266 yang digunakan sebagai masukan modul relay untuk menyalakan atau memadamkan lampu.To turn on the indoor lighting is still done manually by pressing the light switch. Switch is an electric tool to turn on or turn off the lights. There are lots of innovations that can be done to make human work easier. One of them is using a gesture.sensor which is applied to replace a manual switch. Gesture.sensor is a non-verbal communication that communicates certain messages by detecting hand movements. This research is to utilize the gesture sensor which functions as a control for disconnecting and connecting electricity without physical contact between the user and the device being made, to turn on the lights in the room, the gesture sensor detects hand movements up, down, to the left and to the right side. If there is a movement of the hand as a gesture signal (gesture.sensor) as input and processed by the NodeMCU ESP8266 microcontroller which is used as input to the relay module to turn on or turn off the lights.
Analisis Sentimen Terhadap Penggunaan Aplikasi Shopee Mengunakan Algoritma Support Vector Machine (SVM)
Authors: Idris Irma Surya Kumala , Mustofa Yasin Aril , Salihi Irvan Abraham
Published: February 2023

Analisis Sentimen merupakan cabang dari penelitian text mining yang melakukan proses pengklasifikasian dokumen teks. Analisis sentimen dapat melakukan ekstraksi pendapat, emosi, dan evaluasi tertulis seseorang tentang topik tertentu menggunakan teknik pemrosesan Bahasa alami. Pada penelitian ini melakukan analisis sentiment terhadap penggunaan aplikasi Shopee menggunakan algoritma Support Vector Machine (SVM). Tujuan dari penelitian ini adalah untuk mengklasifikasi data komentar dari pengguna aplikasi Shopee kedalam komentar positif dan negatif dengan mempelajari pendapat pengguna tentang aplikasi Shopee melalui ulasan yang diberikan, dan untuk mengetahui kinerja dari metode pengklasifikasi yang digunakan. Pada penelitian ini data diperoleh dengan cara mengangkat data dari ulasan penggunakan aplikasi Shopee menggunakan metode scraping dan berhasil mendapat 3000 data ulasan. Hasil penelitian menggunakan algoritma Support Vector Machine terbukti mampu menghasilkan kinerja yang cukup baik dengan hasil akurasi sebesar 98% dan f1-score sebesar 0.98 atau sebesar 98%.Sentiment analysis is a branch of text mining research that carries out the process of classifying text documents. Sentiment analysis can extract one's opinions, emotions, and evaluations about a certain topic using natural language techniques. In this study, sentiment analysis was carried out on the use of the Shopee application using the Support Vector Machine (SVM) algorithm. The purpose of this study is to classify comment data from Shopee application users, positive and negative comments by studying user opinions about the Shopee application through the reviews provided, and to determine the performance of the classifier method used. In this study, the data was obtained by collecting data from reviews on the use of the Shopee application using the scraping method and managed to get 3000 data reviews. The results of research using the Support Vector Machine algorithm are proven to be able to produce quite good performance with an accuracy of 98% and an f1-score of 0.98 or 98%.
Analisis Sistem Antrian Pembelian Tiket Di Pelabuhan Penyeberangan Gorontalo Menggunakan Aplikasi Promodel
Authors: Hasanuddin Hasanuddin , Wolok Eduart , Giu Jamal Darusalam , Sugianto Nanang
Published: February 2023

Abstrak —Pada pelayanan pembelian tiket kapal di pelabuhan penyeberangan kota Gorontalo sering terjadi antrian. Antrian terjadi karena adanya masalah dalam pelayanan, masalah tersebut terjadi karena tingkat kedatangan pelanggan lebih besar dari pada tingkat pelayanan. Karena hal ini membuat konsumen menunggu untuk dilayani. Oleh karena itu, untuk melihat kinerja sistem layanan loket pembelian tiket kapal di pelabuhan penyeberangan Gorontalo maka diperlukan  simulasi sistem antrian menggunakan aplikasi ProModel. Penelitian ini bertujuan untuk mengetahui berapa lama waktu antrian setiap konsumen dalam mendapatkan pelayanan pada pembelian tiket di Pelabuhan Penyeberangan Gorontalo dan untuk Mengetahui kinerja  pelayanan  pada pembelian tiket kapal feri di pelabuhan penyeberangan Gorontalo menggunakan aplikasi simulasi ProModel. Adapun hasil report tingkat kesibukan pada loket administrasi sebesar 22,17%, validasi vaksin 58,02% dan loket pembelian tiket 92,30% dengan rata-rata waktu pelayanan pada loket administrasi sebesar 1,90 penumpang dalam 1 menit, validasi vaksin 0,84 penumpang dalam 1 menit dan loket pembelian tiket 1,02 penumpang dalam 1 menit.Currently, queues often occur when purchasing ferry ticket at the ferry port in Gororntalo, and it occurs due to experiencing problems in service particularly when the arrival rate of customers is greater than the level of service. Consequently, this makes consumers wait to be served. Therefore, to observe the performance of boat ticket counter service system at the Gorontalo ferry port, it is necessary to simulate the queuing system using ProModel application. This present research aims to determine how long the queue time for each consumer is to obtain service for purchasing tickets at the Gorontalo ferry port. Also, it aims to determine the service performance for purchasing ferry tickets at the Gorontalo ferry port using ProModel simulation application. The result of report reveal that the level of activityat the administration counter is 22,17% validation of vaccines is 58,02% and ticket counter is 92,30%. In addition, the average service time at the administration counter is 1,90 passeggers in one minute, vaccine validation is 0,84 passeggers in one minute, and ticket counter is 1,02 passanggers in one minute.
Rancang Bangun Sistem Latihan Tekanan Lidah
Authors: Pasaribu Novie Theresia , Sartika Erwani Merry , Darmanto Christopher Prasetya , Renaldy Derry , Lin Che Wei , Setiawan Febryan
Published: February 2023

Terapi gerakan lidah secara rutin dengan stimulasi ujung syaraf bisa digunakan sebagai alat bantu terapi bagi pasien untuk penyakit stroke, dysphasia dan sleep apnea. Pada penelitian awal ini akan didesain rancang bangun Sistem Latihan Tekanan Lidah (LTL) dengan menggunakan alat LTL yang dirancang dengan menggunakan sensor tekanan Force Sensing Resistor (FSR) untuk memfasilitasi gerakan latihan lidah yang terdiri dari Tongue Force, Tongue Slide, dan Tongue Press. Pilihan jenis gerakan latihan lidah, panduan dan hasil latihan gerakan lidah yang dilakukan akan ditampilkan pada aplikasi smartphone. Simpulan yang didapat dari penelitian ini adalah Sistem LTL telah berhasil direalisasikan dengan sensor FSR, dari pembacaan nilai sensor tekanan pada Arduino dan smartphone terdapat delay rata-rata 1 detik. Besar tekanan lidah pada gerakan Tongue Force, Tongue Slide, dan Tongue Press sebesar 0-730 Gram-force. Pada Gerakan Tongue Slide ada perubaan besaran tekanan pada Sensor-1 dan Sensor-2, dikarenakan ada gerakan lidah kearah belakang. Berbeda dengan gerakan Tongue Press dan Tounge Force yang hanya mempengaruhi pada Sensor-1 saja.Routine tongue movement therapy with nerve tip stimulation can be used as a therapeutic aid for patients for stroke, dysphasia and sleep apnea. In this initial research, the design of the Tongue Pressure Training System (LTL) will be designed using an LTL tool designed using a Force Sensing Resistor (FSR) pressure sensor to facilitate tongue exercise movements consisting of Tongue Force, Tongue Slide, and Tongue Press. A selection of types of tongue exercise movements, guides and results of tongue movement exercises performed will be displayed on the smartphone application. The results obtained from this study are the LTL system which is realized from the reading of the pressure sensor value on the smartphone display, there is an average delay of 1 second so that there is a large difference in pressure readings on Arduino and smartphones. The amount of tongue pressure when performing Tongue Force, Tongue Slide, and Tongue Press movements has a pressure reading value of 0-700 Gram-force. In the Tongue Slide Movement, there is a change in the amount of pressure on sensor-1 and sensor-2, because the movement requires the tongue to move. In contrast to the Tongue Press and Tounge Force movements which focus more on pressure in sensor-1.
Penentuan Grade Kopra Dengan Penerapan Metode Logika Fuzzy
Authors: Lahay Idham Halid , Hasanuddin Hasanuddin , Giu Jamal Darusalam , Bawole Malfrin G.
Published: February 2023

Penentuan kualitas kopra merupakan proses penting dalam industri perkebunan kelapa yang bertujuan untuk menentukan kualitas kopra yang dihasilkan. Namun, proses ini seringkali sulit dilakukan secara manual karena dipengaruhi oleh subyektivitas dari petugas yang melakukan pengamatan. Oleh karena itu, diperlukan suatu metode yang objektif untuk membantu proses tersebut, salah satunya adalah logika fuzzy. Logika fuzzy dapat digunakan untuk mengelola informasi tidak jelas dengan menggunakan aturan-aturan matematis dimulai dengan definisi himpunan fuzzy, definisi aturan fuzzy, proses fuzzyfikasi dan terakhir defuzzyfikasi. Studi ini bertujuan guna membangun sistem yang bisa menolong dalam penentuan mutu kopra di PT Multi Nabati Sulawesi dengan memanfaatkan logika fuzzy. Hasil dari riset ini menampilkan kalau sistem yang dibentuk bisa menentukan kualitas kopra dengan akurasi sebesar 95% dan memberikan rekomendasi kualitas yang sesuai dengan kondisi sampel yang diuji.Determining the quality of copra is an important process in the coconut farming industry that aims to determine the quality of copra produced. However, this process is often difficult to perform manually due to the subjectivity of the officers performing the observation. Therefore, an objective method is required to assist in this process, one of which is fuzzy logic. Fuzzy logic can be used to manage unclear information using mathematical rules, starting with the definition of fuzzy sets, definition of fuzzy rules, fuzzyfication process, and lastly defuzzification process. This research aims to develop a system that can assist in determining the quality of copra in PT Multi Nabati Sulawesi using fuzzy logic. The results of this research show that the system developed can determine the quality of copra with an accuracy of 95% and provide appropriate quality recommendations based on the conditions of the samples tested
Klasifikasi Tingkat Kepuasan Masyarakat Program RTP2S Menggunakan Metode SVM Berbasis Backward Elimination
Authors: Sulaehani Ruhmi , Bahrin Bahrin
Published: February 2023

RTP2S merupakan program pencanangan Rumah Tangga Pelopor Pencegahan Stunting, pendekatanya diimplementasikan melalui model pilot RTP2S yang didasarkan desa lokus stunting dan desa bermasalah sanitasi dan air bersih. Permaslahan yang terjadi yaitu pemerintah tidak ada data langsung dari masyarakat untuk mengetahui berhasil tidaknya pemerintah atau puas tidaknya masyarajkat dengan adanya program RTP2S yang telah dijalankan. Klasifikasi keberasilan pemerintah dinilai dari tingkat kepuasan masyarakat terhadap program RTP2S. Data yang digunakan yaitu berupa data hasil wawancara terhadap masyarakat yang berupa kuesioner. Pertanyaan kuesioner yang dibuat terdiri dari 16 pertanyaan yang disimbolkan P1-P16. Hasil kuesioner diinput menggunakan Microsoft Excel, data yang didapatkan sebanyak 50 record. Tahap preprocessing yang dilakukan yaitu pertama data selection dimana dilakukan pemilihan data sebelum tahap pemodelan, yang kedua tahap cleaning diterapkan untuk menghapus data kosong dan merubah data yang tidak konsisten, dan ketiga data reduction dalam dataset mungkin terjadi inkonsisten data dan duplikat data atau terdapat data yang sama akan dijadikan satu tupel. Untuk tahap eksperimen, peneliti menggunakan tool RapidMiner untuk pemodelan klasifikasi. Dari hasil penelitian bahwa dengan menggunakan seleksi fitur sangat berpengaruh terhadap peningkatan akurasi, karna atribut yang tidak signifikan dari model akan dieliminasi, dari hasil eliminasi menggunakan backward elimination, atribut yang digunakan hanya 5 atribut. Akurasi yang didapatkan dengan menggunakan Metode Support Vector Machine yaitu 54.00% sedangkan Support Vector Machine berbasis Backward Elimination yaitu 62.00%. Klasifikasi Tingkat Kepuasan Masyarakat Terhadap Program RTP2S yang di proporsi jumlah data bernilai benar yang berhasil diklasifikasi secara tepat yaitu 62% yaitu data Puas diklasifikasi Puas. Hasil yang didapatkan merupakan tingkat keberhasilan pemerintah dimana 62% masyarakat penerima bantuan RTP2S merasa Puas terhadap program RTP2S.
Collaborative work as a didactic strategy to mitigate the inadequate coexistence between Venezuelan and Colombian students.
Authors: Frias Jimenez Ana Maria , Padilla Correa Antonio Jesús , Castañeda Polanco Juan Gabriel
Published: February 2023

The objective of this research project is to mitigate school coexistence problems between Colombian and Venezuelan students through the implementation of collaborative work as a didactic strategy to achieve this goal. The project was based on the qualitative approach and action research. Tools such as focus group, semi-structured interview and direct observation were used. It was divided into 4 phases. The first phase consisted of carrying out a diagnostic analysis through the interview instrument in order to know through the testimonial source the level of difficulty with respect to the coexistence scenario. In the second phase, the didactic strategy based on collaborative work was applied, taking as a starting point the choice of certain topics that would generate impact and help the purpose of the work. In the third phase, the degree of assertiveness of the applied strategy was analyzed, as well as the opportunities for improvement of the group, with the participation of the teachers of the areas of Spanish, religion and ethics in this stage. Finally, the results were analyzed and showed signs of progress in the elimination of discriminatory and segregating scenarios of some students towards others. In the conclusions, the need to adapt the IEP, the curriculum, generate new spaces for interaction that enable collaborative work, respect and empathy, and train the teaching staff in the use of appropriate strategies to maintain a coexistence environment based on respect for differences is taken for granted.
Prison situation, analysis Ecuador year 2022
Authors: Vinces Vargas Arelis Jazlin , Maldonado Ruiz Luis Mauricio
Published: February 2023

The penitentiary system of Ecuador has undergone in recent years changes in form and substance that have altered for better or worse the coexistence and everything that means its social rehabilitation processes in our country, before these last two years there have been a series of events around the Ecuadorian prison system that put it in the center of the news and investigative agenda nationally, in the region and in the world. Crime rates and a bloody coexistence among the actors that make up the rehabilitation and social readaptation system of the country have been increasingly marked by a series of aspects both internal and external to the rehabilitation system itself.
Rhetoric in the construction of a system of socioeconomic indicators
Authors: Bejarano Copo Holger Fabrizzio
Published: February 2023

Indicators are quantitative data that are the product of procedures established by the researcher, where results are generated, but they are not findings of the object; measurement methodologies and techniques acquire greater relevance than knowledge of reality. The interest in precise measurement is more attractive to the researcher than the explanation and knowledge of the object. The construction of indicators has to do mainly with the need to measure empirically the phenomenon presented, therefore indicators are considered as the description of the morphological attributes of the object, and also as those units of measurement for morphological analysis. They do not respond to an immediate connection with the environment, based on a pre-existing theory, but also respond to mediations that come to be articulated by a theory that offers a foundation to the object of study; therefore they are conceptualizations thought from the object and the articulations that it presents. In conclusion, indicators are one of the tools that make it possible to quantify, to verify conditions, to compare different places and situations, to manage information and also to anticipate future trends and conditions. Having a list of them will not by itself solve the challenges of regional development, although they do contribute to its promotion.
NT - 64 - Dinte - RCEP : histórico das negociações e efeitos geopolíticos
Authors: Salles Marcus Maurer de , Carvalho Marina Amaral Egydio de
Published: February 2023

Revisa a literatura especializada dedicada a compreender o fenômeno dos mega-acordos regionais, em especial a RCEP, para extrair parâmetros tanto teóricos quanto operacionais, e traz reflexões que tais estudos fizeram sobre o histórico das negociações desse acordo, destacando suas motivações, discutindo os efeitos geopolíticos, os dados que foram produzidos durante a fase de negociações e as consequências potenciais da entrada em vigor do acordo, bem como de novas acessões.
The Effect of Good Corporate Governance on Financial Performance and Its Impact on Competitive Advantage (Empirical Study on Property and Real Estate Sub-Sector Companies Listed on the Idx for the Periode 2017 – 2020)
Authors: HIDAYAH Nurul , PUTRIATAMA Aldilla
Published: February 2023

This study aims to determine the relationship between Good Corporate Governance on competitive advantage mediated by financial performance. Good Corporate Governance is proxied by independent commissioners, audit committees and institutional ownership. Financial performance is measured by Return on Assets (ROA). The population in this study is the property and real estate sub-sector companies listed on the Indonesia Stock Exchange from 2017-2020. The data collection method used is purposive sampling. The number of final samples that are eligible to be used as research samples is 68 samples. The analysis technique used is path analysis. The results of this study indicate that independent commissioners do not affect ROA, while audit committees and institutional ownership affect ROA. Independent commissioners and audit committees affect competitive advantage, while institutional ownership does not. After conducting path analysis, ROA cannot mediate the effect of independent commissioners and audit committees on competitive advantage. In contrast, ROA can mediate the impact of institutional ownership on competitive advantage.
Inability To Adapt To Environmental Changes Causes the Declining Performance of Indonesia's Textile Industry
Authors: RACHMAWATI Rima , OCTAVIA Evi
Published: February 2023

The ability of managers in the face of environmental uncertainty is the main key to achieving competitive advantage. The decline in the performance of the Indonesian textile industry is due to the low quality of management accounting. This quantitative research aims to prove that the ability to deal with environmental uncertainties affects the quality of management accounting as well as its impact on the quality of information. The method used in this research is Explanatory verification research to find out what and how far the factors that affect the quality of management accounting information. This study involved textile companies registered with the Indonesian Textile Association, a total population of 85 companies with sampling methods using power analysis at a significance level of 5% with statistical power. Data analysis using Structural Equation Modeling-Partial Least Square includes measurement and structural models. The results of this study prove that the variability of management accounting information systems is built by the variability of environmental uncertainties. While the variability in the quality of management accounting information is formed by the variability of management accounting systems. Following up on the findings of this study, the ability to deal with environmental uncertainties is the main key to optimizing management accounting systems in generating management accounting information.
Un nouvel instrument au service du statu quo : comment l'importation des contrats de nappe renforce les équilibres nationaux de la politique marocaine de l'eau
Authors: Del Vecchio Kévin
Published: February 2023

Au Maroc, la politique de gestion des eaux souterraines s'articule aujourd'hui officiellement autour de la mise en œuvre de contrats de nappe. Instruments promus à l'international, ces standards sont en réalité largement malléables et font l'objet d'une appropriation spécifique de la part des acteurs nationaux de la production des politiques de l'eau. De fait, celles-ci sont marquées par des logiques historiques profondes, qui contribuent à limiter les changements d'action publique promus par de tels instruments. La mise en œuvre des contrats de nappe constitue cependant une ressource stratégique pour les acteurs du secteur de l'Eau, de plus en plus marginalisés face au puissant secteur de l'Agriculture, tandis que leur promotion offre aux autorités marocaines l'avantage de pouvoir afficher une mise en conformité de leurs politiques publiques avec les standards internationaux en matière de gestion de l'eau. Ressource symbolique autant que matérielle pour les uns, les contrats de nappe garantissent aux autres le verdissement des politiques de développement agricole menées parallèlement.
Recognition of adherent polychaetes on oysters and scallops using Microsoft Azure Custom Vision
Authors: Kim Dong-hyeon , Choe Se-woon , Zhang Sung-Uk
Published: February 2023

Oyster and scallop cultures have high growth rates in the Korean aquaculture industry. However, their production is declining because of the manual selection of polychaete-adherent oysters and scallops. In this study, an artificial intelligence model for automatic selection of polychaetes was developed using Microsoft Azure Custom Vision to improve the productivity of oysters and scallops. A camera booth was built to capture images of oysters and scallops from various angles. Polychaetes in the images were tagged. Transfer learning available with Custom Vision was performed on the acquired images. By repeating the training and evaluation, the number of training images was increased by analyzing the precision, recall, and mean average precision using the Compact [S1] and General [A1] domains of Custom Vision. This paper presents the artificial intelligence model developed for the automatic selection of polychaete-adherent oysters and scallops as well as the optimal model development method using Microsoft Azure Custom Vision.
Mathematical analysis of a two-tiered microbial food-web model for the anaerobic digestion process
Authors: Albargi Amer Hassan , Hajji Miled El
Published: February 2023

In this research paper, we presented a four-dimensional mathematical system modeling the anaerobic mineralization of phenol in a two-step microbial food-web. The inflowing concentrations of the hydrogen and the phenol are considered in our model. We considered the case of general class of nonlinear growth kinetics, instead of Monod kinetics. Due to some conservative relations, the proposed model was reduced to a two-dimensional system. The stability of the steady states was carried out. Based on the species growth rates and the three main operating parameters of the model, represented by the dilution rate and input concentrations of the phenol and the hydrogen, we showed that the system can have up to four steady states. We gave the necessary and sufficient conditions ensuring the existence and the stability for each feasible equilibrium state. We showed that in specific cases, the positive steady state exists and is stable. We gave numerical simulations validating the obtained results.
An adaptive feature selection algorithm based on MDS with uncorrelated constraints for tumor gene data classification
Authors: Zheng Wenkui , Zhang Guangyao , Fu Chunling , Jin Bo
Published: February 2023

The developing of DNA microarray technology has made it possible to study the cancer in view of the genes. Since the correlation between the genes is unconsidered, current unsupervised feature selection models may select lots of the redundant genes during the feature selecting due to the over focusing on genes with similar attribute. which may deteriorate the clustering performance of the model. To tackle this problem, we propose an adaptive feature selection model here in which reconstructed coefficient matrix with additional constraint is introduced to transform original data of high dimensional space into a low-dimensional space meanwhile to prevent over focusing on genes with similar attribute. Moreover, Alternative Optimization (AO) is also proposed to handle the nonconvex optimization induced by solving the proposed model. The experimental results on four different cancer datasets show that the proposed model is superior to existing models in the aspects such as clustering accuracy and sparsity of selected genes.
A robust local pulse wave imaging method based on digital image processing techniques
Authors: Liu Shuyan , Li Peilin , Tan Yuanhao , Ding Geqi , Peng Bo
Published: February 2023

The original diameter velocity loop method (ln(D)U-loop) cannot accurately extract the blood vessel diameter waveform when the quality of ultrasound image data is not high (such as obesity, age, and the operation of the ultrasound doctor), so it is unable to measure the pulse wave velocity (PWV) of the ascending aorta. This study proposes a diameter waveform extraction method combining threshold, gradient filtering, and the center of gravity method. At the same time, the linear regression method of searching for the rising point of the systolic period is replaced by the optimal average of two linear regression methods. This method can also extract the diameter waveform with poor-quality images and obtain a more accurate PWV. In vivo experimental data from 17 (age 60.5 ± 9.2) elderly patients with cerebral infarction and 12 (age 32.5 ± 5.6) healthy young adults were used for processing, and the results showed that the mean PWV using the ln(D)U-loop method was 12.56 (SD = 3.47) ms−1 for patients with cerebral infarction and 6.81 (SD = 1.73) ms−1 for healthy young adults. The PWV results based on the Wilcoxon rank-sum test and calculated based on the improved ln(D)U-loop method were both statistically significant (p < 0.01). The agreement analysis (Bland–Altman analysis) between the QA-loop and ln(D)U-loop methods showed that the mean deviation of the measured PWV was 0.07 m/s and the standard deviation of the deviation was 1.18 m/s. The experimental results demonstrated the effectiveness of the improved ln(D)U-loop method proposed in this paper on poor-quality images. This study can improve the possibility of the ln(D)U-loop method being widely used in the clinical measurement of ascending aortic PWV.
The new value of curbs
Authors: Baraud-Serfaty Isabelle , Benamouzig Nathan
Published: February 2023

The objective of this article is to understand the changing value of the curb in the digital transition that we currently experience. Digital technologies impose a new perspective when it comes to understanding the curb. This reflection relies on observations of a variety of academic and non-academic pieces of literature. The analysis of the urban economy is therefore deeply linked to activities of the private sector in the studied space, here the curb. The change in behavior of private operators regarding the occupation of curb has been crucial to acknowledge that the curb is becoming a scarce and valuable resource. This transition is bringing up new challenges to various city operators, both public and private, especially since the curb is used in its physical form but also to obtain information through digital technologies. Digital technologies are also opening new models of governance of urban spaces, more specifically of the curb, which can serve public services and the residents. New possible models and tools of governance can also help cities deal with contemporary arising issues such as global warming, preservation of personal data, or public health emergencies.
To believe or not to believe? Truths and lies in interviews with poor people
Authors: Truong V. Dao
Published: February 2023

For research using qualitative interviews as the main method, it is not easy to convince respondents, particularly poor people, to participate and reveal what they are thinking and expecting. This research note reflects on the challenges encountered while undertaking ethnographic fieldwork with poor people working in tourism in Hanoi, Vietnam. Semi-structured interviews were conducted with 58 rickshaw drivers (30 formal and 28 informal workers). While many respondents were honest in their statement of formality or informality, some others were found to lie about their informality. This research is important in that it is arguably the first to address issues of truths and lies in (pro-poor) tourism studies, thereby sharing deeper insights into the difficulties associated with interviewing poor people whose voices are often not heard in the field.
A Solution of Pattern Recognition Based on Deep Learning for Robotic Manipulator to Pick Up and Drop Objects
Authors:   Le Quy Don Technical University, Anh Mai Ngoc , Bien Duong Xuan
Published: February 2023

This article presents the pattern recognition solution based on two deep learning modules supporting the robotic manipulator to pick up and drop objects. The first deep learning module performs image processing to recognize identified objects. The second module is used to train object pick and drop tasks based on the recognition results of the first module. To check the feasibility of the proposed pattern recognition solution, several tests are performed on a real robot arm model with 6 degrees of freedom with the constraints of joint variables limited from -170 degrees to 170 degrees. After performing 84 tests in more than 8 hours on GeForce RTX 3080 GPU with changes in object features (shape and colour), pick up or drop location, the statistical results show that the robot can be done exactly as required with up to 94% accuracy with a low-cost USB camera.
Geophysical Investigation of Part of Ahmadu Bello University Farm, Nigeria
Authors: Osumejeh J. O. , Eshimiakhe D. , Kudanmya E. A. , Ojo F. , Lawal K. M.
Published: February 2023

Geophysical methods are becoming an increasingly valuable tool even for agricultural applications. Agricultural  geophysics investigations are commonly focused on delineating small- and/or large-scale objects/features within the soil profile (````````~ 0 to 2 m depth) over very large areas. The study was carried out at a farm site in Ahmadu Bello University, to delineate subsurface structures with depth. It revealed the lithological units in the study area. The analyses has revealed various lithological units from the results of the inverted sections along the profiles. The study area has shown clearly two distinct layers, overburden and weathered basement. The overburden layer is clayey sand, sandy clay, and laterite. This laterite soil show very high resistivity anomaly that may be referred to as consolidated laterite. The weathered layer which contains medium grained sand with clay and feldspar materials also has the presence of fractured part that could act as the aquifer in the area. From the subsurface properties, this farm land may have low agricultural yield or may limit the cultivation potential of the region, but the region may be good for underground water yield.
AN ANALYSIS OF TREND AND PATTERN OF FISCAL POLICY IN NORTHEAST INDIA WITH SPECIAL REFERENCE TO ASSAM
Authors: Baishya Mrinmoyee
Published: February 2023

Fiscal policy plays an important role in the development of a country. The present study aims to analyse the trend and pattern of fiscal policy variables in case of Assam in Northeast India. The study finds that all the three variables viz. total expenditure, revenue receipts and public debt showed an upward trend with slight fluctuations. From 2004-05 onwards share of revenue receipts in GSDP started to improve and it was above 15% from 2004-05 to 2019-20. Total government expenditure increased with a CAGR of 10.7% and the expenditure to GSDP ratio was more than 10% for the study period. Regarding public debt, after the implementation of the AFRBM Act in 2005, Assam maintained a debt-GSDP ratio of 28% and below as prescribed by the Twelfth Finance Commission.
DOES TRADE OPENNESS EXACERBATE CARBON DIOXIDE EMISSION? : EVIDENCE FROM NIGERIA
Authors: Oyeranti  , Alabi Olugboyega
Published: February 2023

High emissions of greenhouse gases components have today become a world phenomenon. In Africa, Nigeria is the second-highest emitter of greenhouse gases (GHGs), after South Africa. Carbon dioxide (CO2) emissions constitute the largest source of GHGs; hence it has become a widely discussed and researched subject. This, however, is a negative unintended consequence that has emanated from the growing interdependence of the world economies. One of the major instruments of achieving a global world which also stood as a major determinant of economic growth is trade openness. This paper, therefore, examines the impact and the relationship between trade openness on CO2 emissions in Nigeria. The method employed to achieve the stated objectives is the Autoregressive Distributed Lag (ARDL) cointegration technique, using the annual time series data sourced from the World Bank Development Indicator, 2020, for periods 1980 to 2019. The major findings from the study show that there is an insignificant positive relationship between trade openness on CO2 emissions. Also, there exists an increasing trend of CO2 emissions in Nigeria, while that of trade openness shows fluctuation for the periodic review and this depicts a high vulnerability to external shocks. With these findings, the study recommends that the Nigerian government should be more proactive and tenacious in implementing environmental and trade policies in favour of a cleaner economy. Also, the Nigerian government must become keener toward attracting only investors that will produce clean goods and not compromise on the necessity to improve environmental quality
SUPPLY CHAIN DISRUPTION ON MEDICAL COMMODITIES DURING COVID IN INDIA
Authors: Rastogi Advit
Published: February 2023

The interruptions in China had a domino effect on worldwide supply networks before the severe lockdowns were imposed and COVID-19 spread. Priorities have shifted to ensure that expenditures are kept to a minimum and that necessities are delivered on time. Since the epidemic has worsened in India, the logistics supply chain has seen interruptions. The rising demand and decreasing supply may be traced back to a number of causes. Several practical options exist for investigating the current state of affairs. Promoting Indian markets and adjusting policies to aid the local labour force in reducing import dependence on other nations is a priority. The Indian logistics supply chain will benefit from this. This will boost economic growth and job prospects. The objective of the paper states to evaluate supply chain perspective of medical equipment and commodities on India’s covid-19 crisis, to analyse the impact of covid-19 disruptions on the medical commodity supply chain in India and to discuss how healthcare facilities developed resilience and responsiveness towards supply chains of medical commodities post covid in India. The data came in undercover, through a variety of secondary resources. This employs describing and exploring techniques. According to the retracted result, the logistics supply chain is far broader than only the worldwide transport of medications and other products. It deals with problems at the grass-roots level, such the lateness of transporters and couriers and the difficulty of moving people inside industrial units and prohibiting transportation activities (especially trucks). Disruptions in the supply chain affect a wide variety of products, including vaccines, hand sanitizers, testing kits, protected healthcare equipment (PPE), medicines, medical equipment, raw materials, and much more.
SOFTWARE SYSTEMS SECURITY IMPLICATION UTILIZING THE BELL-LAPADULA MODEL
Authors: Cutinha Jaden
Published: February 2023

Due to the multitude of security problems prevailing in society, software and systems security has grown exponentially over the past few years. To combat the issues that arise, there have been a host of approaches that have been attempted to implicate. Current research initiatives through CSS focus on data virtualization security as well as other research including memory forensics. Through this, a relationship has been established that connects them to implications in real-world systems. The main purpose of this remains to implement walls for the prevention of attacks and to remain functional despite extenuating circumstances. The ability to withhold malicious attempts into accessing important data is crucial in the prevention of information loss. In this project I have discussed the model, Bell-LaPadula, that is administered for security. The studies in correlation might align with a potential information security protection that will securely assist in the prevention of the exploitation of a user’s privacy.
AN IN-DEPTH STUDY OF INDUSTRIES THAT WOULD HELP NEPAL IN ACHIEVING MAXIMUM BENEFIT BOTH TANGIBLE AND INTANGIBLE FOR ITS CITIZENS
Authors: Mundara Ananya Shree
Published: February 2023

The paper essentially focuses on the untapped resources both in terms of raw materials as well as labour. The essential aim of the paper is that the Nepalese economy should move rapidly on the path of progress. This requires the efficient use of tourist facilities, remittances, hydropower and labour resources, along with the traditional utilisation of raw materials. As the economy is in an important geopolitical space, it should take advantage in the form of increased investment from its neighbours India and China, and in recent years the US. It is important that all the investment coming in is used in a prudent manner to increase its growth and welfare of its citizens.