bluuebunny/crossref_metadata_2025 huggingface dataset:
PERAN KEPEMIMPINAN TRANSFORMASIONAL DALAM MENGHADAPI PARIWISATA ERA DIGITAL
Authors: Ibrahim Valid Mayyis , Wildan Muhammad Alkirom
Published: April 2023

The tourism industry has entered a new era, namely the digital era of tourism. The digital era of tourism forces tourist destination managers to innovate more in tourism management in line with changes in technological advances. One of the important roles in tourism management is the leadership role of tourism management organizations. One of the leadership styles that can be applied to deal with digital era tourism is transformational leadership. The purpose of this study is to find out whether transformational leadership has been implemented in Tlangoh Beach Pokdarwis to deal with digital era tourism or the 4.0 era, understanding of tourism that has entered the digital era, and strategies that can be applied to deal with digital era tourism. The research method used in this study is descriptive qualitative which aims to reveal a situation as it should be. The results of the study show that there are two dimensions of transformational leadership that have not yet been implemented by the Pokdarwis chairman, namely: intellectual stimulation and inspirational motivation. The understanding that tourism has now entered the digital era is also considered lacking in this research. Seeing these problems, there are three strategies that can be implemented to deal with digital era tourism. The strategy is to carry out positioning, differentiating, and branding of tourist destinations.
DETERMINAN AGRESIVITAS PAJAK PERUSAHAAN MANUFAKTUR SEBELUM MASA PANDEMI DI BURSA EFEK INDONESIA PERIODE 2017 – 2019
Authors: Prasetyo Ari Hadi , Sandra Amelia Sandra , Afrianti Rizka Indri , Triyani Yustina Triyani , Limarga Angelica Gavra
Published: April 2023

The difference in perspective on taxes between the government and company managers who consider taxes is a burden that reduces company profits which has an impact on reducing the prosperity of companies and managers as agents, while on the state side taxes are as a function of the budget for state management. This difference in interests encourages managers to take tax aggressiveness to reduce the tax burden. This study aims to determine the factors that can encourage tax aggressiveness, including Profitability, Company Size, Leverage, Capital Intensity and Independent Commissioners. With a population of all manufacturing companies listed on the Indonesia Stock Exchange prior to the Covid-19 pandemic for the 2017-2019 period, using the Non-Probability Sampling technique, using the purposive sampling method. Data analysis used was data pooling test, descriptive statistics, classical assumption test, multiple linear regression analysis, and hypothesis testing. The results showed that the variable company size has sufficient evidence of a significant positive effect on tax aggressiveness and the independent commissioner variable has sufficient evidence of a significant negative effect on tax aggressiveness, while the variables of Profitability, Leverage and Capital Intensity have insufficient evidence of a significant effect on tax aggressiveness.
ANALISIS PENYERAPAN TENAGA KERJA PEREMPUAN DI PROVINSI RIAU
Authors: Guszalina Suci , Kornita Sri Endang , Maulida Yusni
Published: April 2023

In  the absorption of female workers, there was an increase which in 2021 was 4.57 percent and in 2020 it was 6,16 percent. High population growth has impacted the labor supply, which, if not matched by the demand for labor, will increase unemployment. The occurrence of intellectual unemployment is inseparable from the problem of the world of education which is not able to produce quality workers according to the demands of the labor market so our educated workforce is often unable to compete with foreign workers. Government policies where successful family planning has given women greater free time to participate in the world of work. On the other hand, it can be argued that the desire to increase family income is also quite strong. This study aims to analyze the development and influence of the average wage, education level, and population of women on employment. The method of analysis in this study uses multiple linear regression with the Ordinary Least Square (OLS) technique with the Eviews 10 application, followed by the elasticity method. The results of the analysis in this study are that the average wage/salary of women has a significant and inelastic positive relationship to the absorption of female labor, the average length of education of women has a significant and elastic positive relationship to the absorption of female labor, and the total female population has positive relationship is not significant.
ANALISA KEBIJAKAN PEMERINTAH TERKAIT ANCAMAN PENGANGGURAN PASCA KENAIKAN INFLASI DI JAWA BARAT
Authors: Lilis Lilis , Clarissa Novia , Herliani Herliani , Dikson Dikson , Wilson Jhon
Published: April 2023

In a country has macroeconomic problems that are difficult to solve, namely inflation and unemployment. The purpose of this research is to find out a deeper explanation of government policies related to the threat of unemployment and rising inflation in West Java and the benefit is to add insight into government policies and find out how the government overcomes these problems. The research method used is quantitative observation and qualitative method by describing the actual data in the form of tables, figures, vision and mission. Based on BPS data, it can be seen that in 2021 there will be a lot of unemployment due to the COVID-19 pandemic, the policies used by the government are establishing several strategic policies, providing income tax incentives to workers, and prioritizing pre-employment cards for workers who are victims of layoffs.
PENGARUH BRAND AMBASSADOR, ELECTRONIC WORD OF MOUTH (e-WOM) DAN CITRA MEREK TERHADAP MINAT BELI PRODUK SUNSCREEN AZARINE
Authors: Rahma Yulianita Putri , Setiawan Mulyo Budi
Published: April 2023

Competition in the beauty and skincare industry today is becoming increasingly competitive. As evidenced by the many cosmetic products from local brands that have sprung up in the country. Along with the development of technology, information acquisition about a product can be obtained through experiences from other consumers in cyberspace with a wide range. This has led to a phenomenon related to the use of brand ambassadors, eWOM, and brand images used by companies as marketing efforts to encourage consumers’ buying interest. This test was conducted to test the influence of brand ambassadors, eWOM, and brand image on Azarine’s interest in buying sunscreens. The sample determination technique uses purposive sampling, a criteria for respondents aged 17 years and over. The data collection technique uses a questionnaire with the filling out of 100 respondents. Measurement of research instruments with a likert scale. Testing is carried out by testing the validity, reliability, regression and hypothesis test partially and simultaneously. The resultsof the analysis found that the variables of brand ambassador and eWOM had a positive and insignificant effect on buying interest. On the other hand, brand image variables have a significantand positive effect on buying interest.
TINJAUAN MANAJEMEN PENANGANAN KELUHAN PELANGGAN INDIHOME PADA MEDIA SOSIAL TWITTER
Authors: Kristian S Daniel Oktavianus , Hakim Arif Rahman
Published: April 2023

In the digital era, handling customer complaints is urgently needed in order to increase trust and get customers who are loyal to the company's products/services. Social media, especially Twitter, is one of the channels in the function of being a means of complaint. Good complaint handling management, especially on Twitter social media, is needed so as not to cause negative sentiment in the company. One example of a case phenomenon where complaints develop into negative sentiments is when Indihome becomes a trending topic. The research method used is descriptive qualitative research, which is to answer a question in depth based on objective conditions and reinforcement from several sources, so that details of the flow of handling complaints can be found on Indihome social media as well as efforts and steps for handling complaints expressed via Twitter social media. which needs to be clarified via telephone and if the problem has been resolved, Customer Care will re-clarify via social media again as a public reply. In addition, it is also necessary to increase the speed of handling complaints as well as positive framing / public campaigns to counter negative news so that customer and public trust increases.
KNOWLEDGE CREATION: PERSPECTIVE ON THE HALAL SMEs IN SIDOARJO
Authors: Novie Muhafidhah , Mahmudah Siti
Published: April 2023

This study aims to determine of knowledge creation as perspective on the Halal SMEs in Jabon District, Sidoarjo. To get a clear and structured picture of the phenomenon under study, the research was conducted using a descriptive qualitative method through an ethnomethodological approach. The informants were selected using a purposive sampling technique by considering that the informants are members of the Seaweed SME, namely entrepreneurs (Source Mulyo Cooperative 5758) and red seaweed farmers of Gracilaria sp. The results showed that the knowledge creation as perspective on the Halal Seaweed SMEs in Jabon District, Sidoarjo could be done by applying the SECI Nonaka and Takeuchi models. This model emphasizes the creation of new knowledge in the organization through the conversion of tacit and explicit knowledge with the dimensions of Socialization, Externalization, Combination, and Internalization. This will form a loop that will never stop, and will even expand. Through this continuous process, it is hoped that the differences in understanding between Cooperatives and Farmers regarding the development of seaweed SME will be corrected, resulting in the same agreement on efforts to develop Seaweed SMEs based on knowledge creation perspective.
A Study on Strategic Application of Business Ecosystem to Practical Management System
Authors: Sato Daisuke , Ishioka Masaru
Published: April 2023

Objective – Recently, the market environment has been rapidly changing, and it is difficult for companies to deal with these changes independently. As a countermeasure to these changes, it is considered effective for companies to build ecosystems as solidarity for sharing knowledge or technology with various organizations outside their companies.
Methodology – However, the concept of ecosystems in business is vague and complicated. This makes it difficult for companies to apply ecosystem theory to management strategies. To solve these problems, it is necessary to make the theory of ecosystems available to companies to apply their management strategies.
Findings – For that reason, based on previous studies, this study categorizes multiple concepts of ecosystems that have developed in an ambiguous state based on the theoretical background, definitions, and characteristics. Also, this study analyzes the types of multiple complementarities, which is a fundamental element of many ecosystem concepts, and organized the ecosystem concepts. Based on this, we present the "Ecosystem construction framework" and the "Process for conception management Strategies utilizing ecosystems" as models for incorporating ecosystem theory into management strategies.
Novelty – A deeper understanding of ecosystems through this research is expected to stimulate the sharing of management resources among various organizations by utilizing ecosystems.
Type of Paper: Empirical
JEL Classification: L26, L29.
Keywords: Business ecosystem, Innovation management, Resources Management, Affiliation approach, Structural Approach.
Reference to this paper should be made as follows: Sato, D; Ishioka, M. (2023). A Study on Strategic Application of Business Ecosystem to Practical Management System, J. Bus. Econ. Review, 7(4), 15–22. https://doi.org/10.35609/jber.2023.7.4(2)
Comparison of Black-Scholes and GARCH Option Models on The Jakarta Islamic Index with Collar Strategy
Authors: Hendrawan Riko , Arifin Zainal
Published: April 2023

Objective –The revival of the Islamic economy in Indonesia was marked by the establishment of the Jakarta Islamic Index (JII) on July 3, 2000. From 2000 to 2020, two economic crises hit Indonesia in 2008 and 2020. These crises also had an impact on the high price fluctuations of JII. Assets can be protected from significant losses by hedging. One of the hedging strategies was option contracts with a collar strategy.
Methodology – The data analysed in this research were the JII closing price data from 2000 to 2020 using the Black Scholes model and the GARCH model with the Collar strategy.
Findings – Option with the Collar strategy provided more benefits in crises than without Option. In crisis conditions, the Option with the GARCH method and the collar strategy provided a higher average profit of 3.07% on the one-month Option and 7.01% on the three-month Option than without using the Option with the collar strategy. In non-crisis conditions, the Option using the GARCH method, and the collar strategy provided a 0.16% higher average profit at one-month maturity than without the Option. Meanwhile, the average profit decreased by 1.45% at the three-month maturity. The collar strategy resulted in less volatility. Without a collar strategy, JII volatility was 103%. The collar strategy produced maximum volatility of 12.71%, 15.18%, and 17.14%. The findings also revealed that the GARCH model was better than the Black Scholes based on the AMSE value obtained in crisis conditions with a maturity of one month and three months and in non-crisis conditions with a maturity of one month. Meanwhile, the Black Scholes model showed better results in non-crisis conditions with a maturity of three months.
Novelty – Based on the research result, the Option with a collar strategy is effective for hedging in crisis conditions. This research assesses the collar strategy with several different maturity values to get the most effective value.
Type of Paper: Empirical
JEL Classification: G11, G13.
Keywords: Black Scholes; Collar Strategy; GARCH; Jakarta Islamic Index; Option Contracts.
Reference to this paper should be made as follows: Hendrawan, R; Arifin, Z. (2023). Comparison of Black-Scholes and GARCH Option Models on The Jakarta Islamic Index with Collar Strategy, J. Fin. Bank. Review, 7(4), 16 – 27. https://doi.org/10.35609/jfbr.2023.7.4(2)
IMUNOTERAPIA NO TRATAMENTO DO CÂNCER DE PELE: INIBIDORES DE CHECKPOINTS NO COMBATE AO MELANOMA
Authors: Ferreira De Almeida Gutemberg , Cláudio Dias Gomes Cícero , De Abreu Brasileiro Thaise , Menezes De Carvalho Bruno , Raíssa Silva Varela Beatriz , do Nascimento Andrade Feitosa Ankilma
Published: April 2023

Introdução: Câncer, por definição, é a denominação dada a um conjunto de mais de 100 patologias que tem como fator comum o crescimento celular descontrolado que são capazes de atingir tecidos e órgãos do corpo. Os melanomas humanos são tumores malignos formados a partir de melanócitos. Por ser um tipo agressivo de câncer de pele, o melanoma é uma das principais causas de morbidade e mortalidade. A imunoterapia é uma das estratégias terapêuticas mais eficazes no melanoma devido à alta imunogenicidade desse tumor. Objetivo: O objetivo desse trabalho é apresentar e explanar sobre a imunoterapia no tratamento do câncer de pele. Metodologia: O presente estudo trata-se de uma revisão de literatura integrativa. As bases de dados utilizadas para auxiliar no processo de construção dessa revisão foram: The National Center for Biotechnology, Information/PubMed, para facilitar o acesso aos artigos utilizaram-se alguns descritores, como: Imunoterapia; Tratamento; Câncer; Melanoma; Inibidores de checkpoints; em português e Cancer and imunotheraphy and checkpoint; Cancer and imunotheraphy; Neoplasm or cancer; melanoma and imunotheraphy em inglês, todos disponíveis nos Descritores em Ciência da Saúde (DeCS) e utilizando o descritor booleano AND. Resultados: Espera-se, que mais pessoas conheçam e aprimorem os seus conhecimentos a respeito do assunto descrito, bem como, estimular mais pesquisas e informações sobre esse tema. Conclusão: Destarte, a imunoterapia é considerada uma nova e promissora abordagem para o tratamento do melanoma metastático, logo, a imunoterapia é um tipo tratamento que fortalece o sistema imune, fazendo com que o corpo da própria pessoa tenha maior capacidade para combater o câncer de pele e assim, obter resultados positivos a esses pacientes.

Palavras-chave: Imunoterapia; Tratamento; Câncer; Melanoma; Inibidores de checkpoints.
Virtual Tour with Voice Assistant using Extended Reality
Authors:   Department of Computer Engineering, Poornima Institute of Engineering and Technology, Jaipur (Rajasthan), India., Kishor Indra , Kumar Kishore ,   Department of Computer Engineering, Poornima Institute of Engineering and Technology, Jaipur (Rajasthan), India, Sharma Aarya ,   Department of Computer Engineering, Poornima Institute of Engineering and Technology, Jaipur (Rajasthan), India., Bansal Harsh ,   Department of Computer Engineering, Poornima Institute of Engineering and Technology, Jaipur (Rajasthan), India.
Published: April 2023

We are all aware that virtual reality is a new emerging technology in the modern era. Virtual reality has enormous potential across many industries like Education, Hospitality, Gaming, Army, Tourism, etc. It is the medium of creating our own world, our own customized reality. In this paper, we discussed the extended reality concepts to make the virtual tour of the college campus with real voice assistant service that based on IoT concept. It is the key to experiencing, feeling and touching the college premises, using VR Technology. With this project any of guests want to visit the college premises, He/She can do virtually with our assistant service. In hectic schedules, colleges are facing difficulties during visiting the college to the parents because all faculty members have their other work to do. With this problem, the virtual tour is a solution. So we make the virtual tour with unique voice assistant facility on the concept of IoT technology which will provide the information regarding the place where the visitor will enter for visit by the help of VR Headset.
The Effect of Incidental Learning and Deliberate Learning on L2 Repertoire
Authors:   MA Student, MA in Applied Linguistics, Sham University, Syria., Hamed Ahmad
Published: April 2023

Vocabulary learning is a crucial aspect of language acquisition, and it can occur incidentally or deliberately. Incidental learning (also known as unintentional learning) indicates learning new words while reading or listening to spoken language. Deliberate learning, on the other hand, involves the intentional effort to learn new words through activities such as studying vocabulary lists, using flashcards, practicing with vocabulary exercises, or using a dictionary Both incidental and deliberate vocabulary learning have their advantages and disadvantages. Incidental learning is more natural and occurs in a context, which makes it more likely that new words will be remembered and used correctly. However, it can also be unpredictable and unreliable, as learners may not encounter the same vocabulary frequently enough to remember it. Deliberate learning, on the other hand, is more systematic and provides learners with more control over their learning. However, it can be less engaging and may not always lead to the same depth of understanding as incidental learning. 80 secondary school students were randomly selected to take part in the study, and they were assigned to one of three groups: an experimental group that received instructions on deliberate vocabulary learning techniques, an experimental group that received instructions on incidental vocabulary learning techniques, and a control group that received no instructions. For two weeks, the experimental groups received six hours of instruction in their chosen vocabulary learning strategies. Students in the deliberate vocabulary learning group learned how to learn new words by using techniques like flashcards, making mnemonic devices, and practicing with vocabulary drills. The students in the incidental vocabulary learning group were instructed to use guessing strategies to determine the meaning of new words while reading or listening. All participants took a vocabulary test following the instruction period, which evaluated their retention of the definitions of the words they had learned. The outcomes revealed that both experimental groups outperformed the control group by a significant margin, demonstrating the efficacy of both deliberate and accidental vocabulary learning techniques for enhancing vocabulary acquisition. The deliberate and incidental vocabulary learning groups performed similarly, which is interesting because it suggests that both methods are equally effective. To investigate the long-term effects of deliberate and accidental vocabulary learning techniques, additional research is required. It is crucial to keep in mind that this study concentrated on short-term vocabulary acquisition. The results of this study demonstrate that both deliberate and accidental vocabulary learning strategies can enhance secondary school students' vocabulary acquisition. Both educators and students can combine the two approaches to develop a robust vocabulary in a foreign language.
Design , Implementing, and Testing a Novel Chaotic Random Generator CRN
Authors:   Aviation Science, Higher Colleges of Technology, Alain, UAE., Youssef Amr Sayed Abdel Fattah
Published: April 2023

Nowadays, the importance of implementing a secure communication system that protects the privacy and confidential information from cyber-attacks and eavesdroppers is widely recognized. This requires developing solutions that not only address security issues but should not affect the speed of our system also. To achieve secure communication, most security systems rely on randomness generators, which play a vital role in the encryption process, with more randomness equaling greater security. In this paper, we propose a methodology for designing and implementing a novel random generator by using Lorenz chaotic signals. The proposed chaotic random generator CRN has been tested using NIST's Statistical Test Suite for Random and Pseudorandom Generators for Cryptographic Applications and results have been discussed.
Portable Hotel Management System Using Virtual Reality
Authors:   Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India., N Rubasri , Raghu Soundarya ,   Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India., Maheshwari M. ,   Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India., D Ramalakshmi ,   Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India
Published: April 2023

In todays era, people often go to restaurants. So, good hotel management is necessary to increase the number of customers. To enhance it, a VR model is being developed. The main use of this VR model is to reduce the customer’s interaction with the servers and also increase customer satisfaction. VR not only increases satisfaction but also enhances user-friendliness. The existing system has a pen-based technology that is used to select the menu. But, in the updated system a touch screen system has been enabled to increase the accuracy. Customers can order or place the menu through a VR device preinstalled in their tables to reduce the manpower.
Real-Time Phishing Website Detection using Machine Learning and Updating Phishing Probability with User Feedback
Authors:   Department of Computer Engineering, Pune Institute of Computer Technology, Pune (Maharashtra), India, Adake Mitesh M. , Belekar Atharva M. ,   Department of Computer Engineering, Pune Institute of Computer Technology, Pune (Maharashtra), India, Ambekar Chinmay U. ,   Department of Computer Engineering, Pune Institute of Computer Technology, Pune (Maharashtra), India., Bhaiyya Prof. Dipika D. ,   Department of Computer Engineering, Pune Institute of Computer Technology, Pune (Maharashtra), India
Published: April 2023

Phishing attacks remain a significant threat to internet users worldwide. Cybercriminals often send out phishing links through various channels such as emails, social media platforms, or text messages, to trick users into disclosing their sensitive infor-mation such as passwords, usernames, or credit card details. This stolen information is then used to perpetrate various types of fraud or sold on the dark web for profit. To combat this problem, various machine learning-based solutions have been developed for detect-ing phishing websites. However, these solutions vary in their effec-tiveness, with some focusing on URL-based algorithms while oth-ers focus on website content. This paper proposes a machine learn-ing-based approach to real-time phishing website detection, with a focus on the website's URL, domain page, and content. The pro-posed framework will be implemented as a browser plug-in, which can identify phishing risks as users visit websites. The framework integrates several techniques, including blacklist interception, whitelist filtering, and machine learning prediction, to improve ac-curacy, reduce false alarm rates, and minimize computation times. The proposed approach also incorporates user feedback to update the phishing probability over time, thereby increasing the accuracy of detecting phishing websites. This feedback loop involves users reporting suspected phishing websites to the system, which then updates the phishing probability calculation with new information to improve its accuracy. The significance of this research lies in its ability to provide real-time phishing detection capabilities, which can help protect internet users from falling victim to phishing at-tacks. Furthermore, the use of machine learning-based algorithms and user feedback ensures that the system is continuously updated to remain effective against new and emerging threats.
Mengintegrasikan Augmented Reality dalam Pembelajaran Bentuk 2D dan 3D
Authors: Mohd Fadzil Mohamad Zulfadzli , Mohd Noor Noor Anida Zaria
Published: April 2023

Augmented Reality (AR) adalah sebuah teknologi yang semakin berkembang dalam bidang pendidikan. Tujuan kajian ini adalah untuk dijalankan adalah untuk membangunkan sebuah aplikasi pembelajaran berasaskan Augmented Reality yang bertajuk “Mari Mengenal Bentuk”. Objektif pembangunan aplikasi pembelajaran ini adalah untuk membantu murid Tahun Satu dalam mata pelajaran STEM iaitu mata pelajaran Matematik dalam topik Bentuk. Metodologi yang digunakan dalam pembangunan aplikasi ini adalah model ADDIE yang melibatkan lima fasa. Fasa penilaian yang dijalankan untuk mendapatkan maklum balas yang diperoleh daripada 18 orang responden. Hasil dapatan kajian dikumpul dengan menggunakan kaedah kuantitatif melalui pautan Google Form. Dapatan kajian menunjukkan guru-guru memberikan pandangan yang positif terhadap aplikasi ini digunakan sebagai bahan pembelajaran. Guru juga bersetuju bahawa aplikasi ini sesuai digunakan oleh murid Tahun Satu dengan bimbingan daripada guru atau ibu bapa.

Integrating Augmented Reality in Learning 2D and 3D Shapes

Abstract: Augmented Reality (AR) is a growing technology in the field of education. The purpose of this study is to develop an Augmented Reality-based learning application titled "Mari Mengenal Bentuk". The objective of the development of this learning application is to help Year One students in STEM subjects that is Mathematics subject in the topic of “Bentuk”. The methodology used in the development of this application is the ADDIE model which involves five phases. Evaluation phase conducted to obtain feedback obtained from 18 respondents. The results of the study were collected using quantitative methods through the Google Form link. Findings of the study showed that teachers gave a positive view of this application used as a learning material. Teachers also agreed that this app is suitable for use by Year One pupils with guidance from teachers or parents.

Keywords: 2D and 3D Shapes, ADDIE, Augmented Reality, Teaching and Learning Aids.
Reka Bentuk Sistem Pemantauan Rumah Menggunakan Rangkaian Penderia Wayerles dan Kamera Pintar
Authors: Shamsuddin Muhammad Asyraaf Adha , Ibrahim Abu Bakar , Abdul Kadir Akmanisah
Published: April 2023

Rangkaian Penderia wayarles ialah rangkaian wayarles yang memudahkan antara muka yang menyediakan sambungan antara pelbagai nod dan sistem berwayar sedia ada. WSN digunakan dalam banyak isi rumah masa nyata, bidang industri dan penyelidikan untuk pemantauan dan kawalan. Kertas kerja ini dijalankan untuk mengkaji pemantauan rumah menggunakan WSN dan kamera pintar. Objektif kajian adalah Untuk meningkatkan keselamatan kediaman dengan sistem pemantauan rumah menggunakan WSN dan kamera pintar, untuk membangunkan sistem yang boleh memantau dan mengawal peralatan rumah dari jauh serta membantu mengurangkan kadar jenayah di kawasan perumahan. Penggunaa Penderia Tanpa Wayar semakin meningkat, dan konsep serta aplikasi baharu sedang ditunjukkan, beberapa isu asas masih tidak dapat diselesaikan. Walaupun banyak isu ini tidak perlu diselesaikan untuk bukti reka bentuk konsep, ia adalah isu penting yang perlu ditangani apabila merujuk kepada operasi jangka panjang sistem ini. Salah satu isu ini ialah jangka hayat sistem, yang berkaitan dengan jangka hayat nod, di mana sistem itu disusun. Berdasarkan output soal selidik yang diedarkan kepada 100 responden didapati bahawa nilai min 0.56 bagi pengetahuan dan kesedaran tentang pemantauan rumah menggunakan WSN dan kamera pintar.

Home Monitoring System Design Using Wireless Sensor Networks and Smart Cameras

Abstract: A wireless Sensor Network is a wireless network that facilitates an interface that provides connectivity between various nodes and existing wired systems. WSNs are used in many real-time household, industrial and research fields for monitoring and control. This paper is conducted to study home monitoring using WSN and smart cameras. The objective of the study is to improve home security with a home monitoring system using WSN and smart cameras, to develop a system that can remotely monitor and control home appliances and help reduce crime rates in residential areas. The use of Wireless Sensors is increasing, and new concepts and applications are being demonstrated, some fundamental issues remain unresolved. Although many of these issues do not need to be resolved for proof of concept designs, they are important issues to address when referring to the long-term operation of these systems. One of these issues is the lifetime of the system, which is related to the lifetime of the nodes, on which the system is composed. Based on the output of the questionnaire distributed to 100 respondents, it was found that the mean value was 0.56 for knowledge and awareness about home monitoring using WSN and smart cameras.

Keywords: Intelligent Cameras, IOT, Wireless Sensor Network
Navigating the Disruption of Digital and Conventional Media in Changing Media Consumption Landscape in Digital Era
Authors: Mohammad Alzub Ahmad
Published: April 2023

The landscape of media consumption has undergone a significant transformation as a direct result of the proliferation of digital media in our century. This research study investigates the impact that digital media has had on traditional media formats, such as print, broadcast, and advertising. Specifically, the author investigates how the proliferation of digital platforms has had an effect on traditional media formats. This article examines the numerous ways in which digital media has disrupted traditional media by doing a thorough assessment of the available literature and conducting an analysis of the various ways in which digital media has changed consumer behaviour, business models, content generation, and distribution. Additionally, this article explores the difficulties and possibilities that traditional media confront in this age of digital technology and offers suggestions for how scholars and practitioners in the field of media might adapt to and succeed in this shifting environment.
The Challenges of Girl-Child Education in Ungogo Local Government Area of Kano State in Nigeria on 1999-2019
Authors: Nasidi Nadir A. , Wali Rukayya Maisara
Published: April 2023

Since the introduction of Western education to Northern Nigeria, especially in the 1920s, many Muslims in the region found it objectionable as it tempered with their religio-cultural values including for instance, co-education. In light of this therefore, this paper identifies and examines the major challenges affecting girl child education in Ungogo Local Government Area of Kano State, Nigeria. Using both primary and secondary sources that are augmented with a qualitative data analysis, the researchers administered a total number of 120 questionnaires across five (5) political wards of Ungogo Local Government Area that were purposively sampled. Out of the 120 questionnaires administered, only 105 were retrieved representing 87.5% response rate. Data collected is analysed using descriptive statistics. Results revealed that religio-cultural reasons, poverty, lack of viable government educational policies and parental preference to educate the male child are the major factors curtailing the chances of the girl child to have access to western education in the area of study.
Capacitive Sensing for Magnetic Nanoparticles in Molecular Communication
Authors: Bartunik Max , Reichstein Johannes , Kirchner Jens
Published: April 2023

Molecular Communication provides a solution for scenarios where conventional technologies for data transmission are not feasible due to energy or size constraints. The development and characterisation of sensor devices for information particles as receivers is an essential step to realising Molecular Communication setups. In this work we will present a new device for sensing of magnetic nanoparticles using a capacitor to detect changes in permittivity. The sensor was evaluated regarding sensitivity and a data transmission scenario in a testbed and compared to an inductive sensor. The new sensor device has a significantly higher sensitivity than the reference sensor, allowing for the use of less information particles when transmitting data. However, the impulse response is wider as magnetic nanoparticles are held in the electromagnetic field of the receiver’s capacitor.
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
Authors: Patnala Ankit , Stadtler Scarlet , Schultz Martin G , Gall Juergen
Published: April 2023

In remote sensing, plenty of multi-spectral images are publicly available from various landcover satellite missions. Contrastive self-supervised learning is commonly applied to unlabeled data but relies on domain-specific transformations used for learning. When focusing on vegetation, standard transformations from image processing cannot be applied to the NIR channel, which carries valuable information about the vegetation state. Therefore, we use contrastive learning, relying on different views of unlabelled, multi-spectral images to obtain a pre-trained model to improve the accuracy scores on small-sized remote sensing datasets. This study presents the generation of additional views tailored to remote sensing images using atmospheric correction as an alternative transformation to color jittering. The purpose of the atmospheric transformation is to provide a physically consistent transformation. The proposed transformation can be easily integrated with multiple channels to exploit spectral signatures of objects. Our approach can be applied to other remote sensing tasks. Using this transformation leads to improved classification accuracy of up to 6%.
Holographic MIMO Communications: Theoretical Foundations, Enabling Technologies, and Future Directions
Authors: Gong Tierui , Gavriilidis Panagiotis , Ji Ran , Huang Chongwen , Alexandropoulos George C. , Wei Li , Zhang Zhaoyang , Debbah Merouane , Poor H. Vincent , Yuen Chau
Published: April 2023

Future wireless systems are envisioned to create an endogenously holography-capable, intelligent, and programmable radio propagation environment, that will offer unprecedented capabilities for high spectral and energy efficiency, low latency, and massive connectivity. A potential and promising technology for supporting the expected extreme requirements of the sixth-generation (6G) communication systems is the concept of the holographic multiple-input multiple-output (HMIMO), which will actualize holographic radios with reasonable power consumption and fabrication cost. The HMIMO is facilitated by ultra-thin, extremely large, and nearly continuous surfaces that incorporate reconfigurable and sub-wavelength-spaced antennas and/or metamaterials. Such surfaces comprising dense electromagnetic (EM) excited elements are capable of recording and manipulating impinging fields with utmost flexibility and precision, as well as with reduced cost and power consumption, thereby shaping arbitrary-intended EM waves with high energy efficiency. The powerful EM processing capability of HMIMO opens up the possibility of wireless communications of holographic imaging level, paving the way for signal processing techniques realized in the EM-domain, possibly in conjunction with their digital-domain counterparts. However, in spite of the significant potential, the studies on HMIMO communications are still at an initial stage, its fundamental limits remain to be unveiled, and a certain number of critical technical challenges need to be addressed. In this survey, we present a comprehensive overview of the latest advances in the HMIMO communications paradigm, with a special focus on their physical aspects, their theoretical foundations, as well as the enabling technologies for HMIMO systems. We also compare the HMIMO with existing multi-antenna technologies, especially the massive MIMO, present various promising synergies of HMIMO with current and future candidate technologies, and provide an extensive list of research challenges and open directions for future HMIMO-empowered wireless applications.
The Development of a Biocompatible Testbed for Molecular Communication with Magnetic Nanoparticles
Authors: Bartunik Max , Fischer Georg , Kirchner Jens
Published: April 2023

Although the concept of engineered molecular communication has been around for quite some time, practical approaches with truly biocompatible setups are still scarce. However, molecular communication has a large potential in future medical applications and may be a solution to size constraints of antenna based transmission systems. In this work we therefore present a testbed using biocompatible magnetic nanoparticles. Based on previous work, all testbed components have been improved regarding performance and size, making a large step forwards regarding miniaturisation and a data transmission approach. In addition, a setup for localised twodimensional sensing of magnetic nanoparticles is presented. All improvements are evaluated individually and combined to achieve a net data rate of more than 6 bit/s, significantly higher than any other comparable biocompatible setup.
Spoiler Deployer
Authors: Rajguru Tejas , Savji Pushkraj , Shambharkar Sayali , Shelke Dheeraj
Published: April 2023

Engineering has revolutionized many aspects of daily life, including the automotive industry. In this paper, we present the design and implementation of an spoiler deployer for cars. The system uses sensors to detect the vehicle's speed and automatically deploys the spoiler to improve the car's stability and reduce the risk of accidents. We describe the system architecture, the hardware components used, and the software algorithms implemented. We also present the results of experiments carried out to test the system's performance and evaluate its effectiveness in improving the car's stability. Keywords – IoT, Spoiler Deployer, Sensors, Stability, Automotive Industry. 
Revolutionizing Computing: A Comprehensive Introduction to Quantum Computing
Authors: Jerbi Douha
Published: April 2023

 Quantum computing is a revolutionary technology that has the potential to solve complex problems that classical computers cannot. This article provides an overview of the current state of quantum computing, including a brief history of its development, an explanation of the principles of quantum mechanics that underlie quantum computing, and a description of the major types of quantum computers and their current capabilities. The article also covers recent advances in quantum computing research, including efforts to develop practical quantum algorithms and to overcome the challenges of quantum error correction. Finally, the article concludes with a discussion of the potential applications of quantum computing in areas such as cryptography, drug discovery, and machine learning, as well as the challenges that must be overcome to realize these applications. Overall, this article aims to provide a comprehensive introduction to the exciting and rapidly-evolving field of quantum computing. 
Breaking Barriers: Unleashing the Power of Quantum Algorithms
Authors: Jerbi Douha
Published: April 2023

 Quantum computing is a rapidly developing field with the potential to revolutionize our ability to solve certain computational problems . While classical computers operate using classical bits, quantum computers use quantum bits (qubits), which can exist in a superposition of states, allowing for parallel computations. The existence of quantum algorithms, which can solve certain problems exponentially faster than classical algorithms, is one of the most exciting aspects of quantum computing. These exotic algorithms are designed to take advantage of quantum mechanical properties such as entanglement and interference, and have the potential to transform a range of fields, including cryptography, optimization, and machine learning. 
Physical Interpretation of Backpropagated Error in Neural Networks
Authors: van Wyk Anton
Published: April 2023

In this note, we shed light on the physical meaning for the backpropagated error used by the backpropagation training algorithm. Essentially, for a given scalar output of the neural network, its backpropagated error is a linear apportionment of the error at it, in proportion to the linear gain between the outputs of neurons and the output according to a linearised-systems-view of the network. For multiple outputs, superposition provides the total/nett backpropagated error at the outputs of neurons.  

Subsequently, we present some elementary statistical analysis for backpropagated errors in the network.
Physical Interpretation of Backpropagated Error in Neural Networks
Authors: van Wyk Anton
Published: April 2023

  

In this note, we shed light on the physical meaning for the backpropagated error used by the backpropagation training algorithm. Essentially, for a given scalar output of the neural network, its backpropagated error is a linear apportionment of the error at it, in proportion to the linear gain between the outputs of neurons and the output according to a linearised-systems-view of the network. For multiple outputs, superposition provides the total/nett backpropagated error at the outputs of neurons.  

Subsequently, we present some elementary statistical analysis for backpropagated errors in the network.
Non-Linear Extended Filter with Near Unit-Gain Feedback Loop Yields High Quality, Fast MENT CT Reconstruction
Authors: Jarisch Wolfram
Published: April 2023

High-quality, fast 3D tomographic reconstruction of objects from projections remains challenging, especially in noisy, sparse, and high contrast measurement environments. Current linear and non-linear iterative processing methods are limited in their ability to extract diagnostic information. To improve information extraction, we propose a new object density estimator with near-unity feedback loop gain, called extended High Efficiency CT with Optimized Recursions (eHECTOR). This algorithm converges to the maximum entropy (MENT) voxel estimator with non-linear transformations. An iterated small signal linearized extended filter with near-unit filtered back-projection (FBP) loop gain refines the object density estimate while increasing resolution. This new model requires little code, reduces data manipulation, and improves accuracy and speed of convergence. Every iteration through the non-linear filter provides effective error minimization in all voxel degrees of freedom of the high-dimensional voxel state space. The proposed method overcomes limitations of current state-of-the-art non-linear reconstruction, which is limited to low-dimensional subspace error contraction, thus limiting the rate of convergence in the high-dimensional voxel space. The proposed method provides improved information extraction, numerical stability, and efficient use of computational resources while minimizing numerical errors and noise sensitivity. It has broad clinical and industrial applications due to its efficiency, accuracy, and high speed. It allows for reduced radiation, smaller X-ray spot size, concurrent modeling of movement, and system calibration while reducing noise, image blur, and artifacts.
Implementation of Kahoot as a Didactic Tool for the Construction of Knowledge, Case Study: Subject "Process Engineering" of the Technological Institute of Milpa Alta
Authors: Vianey Rios Romero , Noe Marron Ramos Domingo , Griselda Ramirez Castillejo , Nathanael Flores Zamorano Damaris , Parada Ricardo Garcia
Published: April 2023

In this research project entitled "implementation of kahoot as a didactic tool for the construction of knowledge, case study: process engineering of the technological institute of milpa alta”. Its objective is: To implement Kahoot in the matter of process engineering. Subsequently, a satisfaction survey of the use of the Kahoot tool was implemented. It has a Cronbach's alpha of .958% which indicates that the answers are aligned with the objective. Where through the implementation, it was possible to verify that it is a practical, efficient and fun tool for university students of the Engineering in Business Management career of the Technological Institute of Milpa Alta.
Enhancing Academic Staff Service Delivery through the Workplace-Context Related Variables in Southwest Nigerian Universities
Authors: Adeleke Foluso
Published: April 2023

The study investigated the relationship between work-place context related variables and academic staff service delivery in Southwestern Nigerian Universities. The study adopted the descriptive survey research design. The population consisted of eighteen (18) Universities while the sample which was selected by simple random sampling technique consisted of 820 academic staff. Two set of instruments tagged “Workplace-Context Variables Questionnaire” (WCRVQ) and “Academic Staff Service Delivery Questionnaire” (ASSDQ) were used for the study. The two instruments were validated by experts in Department of Educational Management. Test-retest method of reliability was used and yielded reliability coefficients of 0.81 and 0.83 for WCRVQ and ASSDQ respectively. The data collected were analyzed using descriptive and inferential statistics. The study revealed that the level of academic staff service delivery in the University system was moderate. The extent of workplace context related variables was moderate. The study also showed significant relationship between workplace-context related variables (physical facilities, interpersonal relationship, and nature of the job) and academic staff service delivery. Based on the findings, it was recommended that Government should increase school funding in order to meet adequate provision and maintenance of physical facilities.