bluuebunny/crossref_metadata_2025 huggingface dataset:
Pre-university physics teaching during the SARS-CoV-2 pandemic in Croatian and Slovenian schools
Authors: Štibi I , Čepič M , Pavlin J
Published: July 2022

In Croatia, as in Slovenia, all schools were closed on 16 March 2020 due to the SARS-CoV-2 pandemic (COVID 19). This has changed the way of teaching and thus has an impact on physics teaching, which encourages experimentation. The paper presents the results of the study on physics teaching during the pandemic in Croatia and Slovenia at the pre-university level. The data were collected using an e-questionnaire. The results show how physics was taught by 332 teachers during the pandemic and highlight the problems they faced during online teaching, focusing on experimental work. It is evident that teachers from both countries tried their best to deliver physics lessons through direct teaching as well. Moreover, they tried to include the experiments and they were very flexible about the students’ obligations and much of what they learned during this time will be implemented in regular classes.
Smartphysicslab: a creative Physics Laboratory using Arduino and smartphones
Authors: Cicuta Pietro , Organtini Giovanni
Published: July 2022

We address aspects of innovation in the practice of experimental physics that are made possible thanks to the availability of ubiquitous and/or cheap digital technologies having the potential to improve the experience and learning outcomes throughout the physics curriculum. The ongoing pandemic poses specific challenges on the traditional approach to laboratory teaching in large labs. The innovation described here, developed independently by us over many years, aims to help maintain or even improve the development of experimental skills also in this new context. We present an analysis of the current situation and describe our proposal with a call for action, centering on the development of an open and bottom-up “Smart Physics Lab” community for the sharing of resources and good practice.
Physics teaching and history of teaching: discoveries from the study of ancient didactic experiments
Authors: Lino N T , Ramos E M F , Benetti B
Published: July 2022

The present research had as its main objective an analysis of curricular transformations that have occurred in the physics teaching, specifically in the topics of “Fluid Mechanics”, through an examination of old instruments no longer in use in a physics laboratory of a Brazilian school. The study begins with the intention of giving a name and meaning to an old dusty instrument found in the laboratory, the Nicholson’s Areometer. From this work of identifying the materials, we realized that experiments on “Fluid Mechanics” found in the laboratory had disappeared from current textbooks and official documents, showing changes in the Brazilian physics curricula. We consider these changes as one of the factors that contributed to the disuse of laboratory equipment today. For the survey and analysis of laboratory materials, a qualitative, exploratory and documentary research was carried out. From this research, the feasibility of resuming disused laboratories and materials as tools for physics teaching was evidenced, and this re-analysis movement may represent a first step to assist teachers in the effective use of such materials in their schools. Finally, we found that some of the reasons mentioned by teachers for not using experimental activities, such as lack of space and equipment, were not identified in the school studied.
Work Group 3 Position Paper: Teacher Education and Teaching/Learning Quantum Physics
Authors: Michelini M , Faletic S , Pospiech G
Published: July 2022

In this article the discussion of Working Group 3 during the GIREP online seminar 2020 on teaching and learning quantum physics in teacher education is summarized. Conclusions are drawn and research desiderata formulated.
Requirements for future quantum workforce – a Delphi study
Authors: Gerke F , Müller R , Bitzenbauer P , Ubben M , Weber K-A
Published: July 2022

With new quantum technologies and new applications comes a new need for specialists, the new quantum workforce. This brings new challenges for education that the typical quantum mechanics courses for physicists do not address. Requirements for the future quantum workforce need to be collected and training programmes created. In between, there should be a European competence framework on which to build the training programmes. One goal of the European Flagship project QTEdu is to develop this framework for second-generation quantum technologies. The Delphi study presented here serves as a basis for this: The aim is to identify knowledge and competences in the field of quantum information technologies, which are partly already needed in industry today, but especially in the future.
Quantum technologies: a course for teacher professional development.
Authors: Sutrini C. , Malgieri M. , Macchiavello C.
Published: July 2022

We present an educational path for teacher professional development whose primary purpose is to enhance physics teachers’ knowledge and awareness of topics related to quantum computation and quantum information, and of their relevance for technological advancement. Besides their objective importance, also stressed by several authors and projects, the choice of topics not traditionally covered in the final year physics curricula also arises from the concrete possibility of developing a multidisciplinary path, able to represent under a unified perspective several subjects treated in secondary school physics and mathematics. The project is realized in the context of the Italian PLS (Plan for Science Degrees) and the education section of the Quantum Flagship. Due to the limitations related to the COVID-19 pandemic it was entirely delivered in the form of synchronous distance learning and was attended by around 30 teachers. Asynchronous discussion was performed using both generally available tools (Google drive, forms etc.) and a dedicated online forum set up on the servers of the University of Pavia. We discuss the structure of the educational path and the results of the first part of the course whose purpose was describing the transition from classical to quantum computation. In general, from both the written pre-questionnaire and the mid-course interviews, strong appreciation and fascination emerge for the cultural significance of the introduced topics and connections.
Conceptual metaphor in teaching/learning electric circuits for student teachers of primary school and kindergarten
Authors: Corni F , Michelini M
Published: July 2022

Integration between cognitive linguistic aspects and physics has been performed in the Physics Education course of the Master’s Degree for prospective primary teachers at the University of Udine in Italy. Conceptual metaphors have been introduced to the students, who were then invited to apply the ideas to the electric circuits. In this contribution we present some relevant results of this activity pointing out how students have worked with metaphors, gaining better conceptual understanding on the disciplinary topic.
Inquiring Electricity in Primary School: A Non-Formal Teaching Education Case Study
Authors: Adesso M G , Capone R , Fiore O
Published: July 2022

In this paper we describe a primary school teachers’ training project which includes laboratory activities as part of non-formal education curricula. Fifty teachers and three researchers in the South of Italy were involved in the project. Some inquiry activities were proposed, while teachers and researchers co-planned some further laboratory activities and experiments, all of which were carried out with 9-10 aged pupils. In the case study described, children used artifacts made from simple and low-cost materials, and transformed them into instruments to experiment with electrical phenomena. By observing the researcher who directly acted in the classroom and actively attended the students during the laboratory phases, the teachers improved their professional knowledge in teaching Physics through laboratory activities within a non-formal environment.
Waves in a swimming pool: a teaching/learning path for teachers’ education
Authors: Tamborini M , Ludwic N , Giliberti M
Published: July 2022

An innovative teaching sequence on underwater diving Physics has been experimented for nine years in a High School in Milano (Italia) to help teachers and students to build a deep comprehension of the wave phenomena. This activity involves all the 15-year-old students attending their second year in the school together with their teachers. It has been implemented under the supervision of the Milano City Police Diving Division in collaboration with the Physics Department of the University of Milan. Many Physics issues, such as optics, acoustics, heat, fluids and dynamics laws, can be explored under water. In the presented contribution the focus will be on the main features of acoustic and electromagnetic waves propagation through air and water by using common descriptors like impedance and energy. The presented proposal may be used as a case study on how to improve the physics teachers’ skills to innovate their educational approach in full autonomy.
Integrating inquiry based learning in physics teacher education through a seminar about processes of gaining knowledge in science
Authors: Tampe J , Spatz V
Published: July 2022

Internalizing the process and methods of scientific research is fundamental both for young people who are getting prepared to work as scientific researchers, as well as for those who participate in social discourses on scientific issues as responsible citizens. In addition, many current problems can not only be solved from a specialist perspective; interdisciplinary cooperation plays an important role in research and society. It is therefore important that teachers know teaching concepts that enable students to acquire competencies to be prepared for these challenges in life. To implement this, a new pre-service teacher study curriculum was developed as part of the MINTplus2 (engl. STEMplus2) project at TU Darmstadt, which conveys interdisciplinary teaching approaches, especially about STEM. As a part of this project, we developed a new seminar which focusses especially on didactic concepts like inquiry-based learning in order to prepare pre-service science teachers to convey their students the methodological knowledge of the scientific research process. This paper shows the seminar structure embedded in the whole project and the first evaluation results with n=14 concept maps of seven students that show that there is a measurable increase in knowledge regarding the seminar topic.
An overview of physics teacher professional development activities organized within the Italian PLS-Physics plan over the past five years
Authors: Michelini Marisa , Malgieri Massimiliano , Corradini Olindo , De Angelis Ilaria , Bernarduzzi Lidia Falomo , Giliberti Marco , Pagliara Stefania , Pavesi Maura , Sabbarese Carlo , Salamida Francesco , Straulino Samuele , Immè Josette
Published: July 2022

The Italian PLS-“Piano Lauree Scientifiche” project has among its objectives the improvement of school-university cooperation, with a special emphasis on in-service teacher professional development. In pursuit of such goal, growing resources and an increasing effort to strengthen the collaboration with schools have been employed in the past years. A working group within the physics section of the PLS project has developed a questionnaire to inquire about teacher formation activities organized during the past five years. After extensive revision and testing, the university network of PLS-Physics was asked to fill the questionnaire. The resulting data from 139 initiatives provides an interesting perspective on the kind of activities, organizational choices and educational priorities for teacher professional development within the PLS-physics project.
Low-cost high-resolution measurements of periodic motions with Arduino in physics teacher in-service education
Authors: Somogyi A , Kelemen A , Mingesz R
Published: July 2022

In this paper, we would like to briefly illustrate the situation a physics teacher-to-be or a practising physics teacher has to face when assigning a role to modern experiments in his or her physics lessons. Afterwards, we would like to present good practices that suggest that computer-aided experimentation has entered public education in the country. We summarize the main aims and some results of the HAS Research Group of Technical Informatics Methodology in combining technical computer sciences with the education of physics. Finally, we present some typical ‘textbook experiments’ for basic conceptions of physics reconsidered using the Arduino platform and low-cost experiment setup.
Teaching optical polarization in high schools: mathematics and experiments
Authors: Pallotta F , Bondani M
Published: July 2022

The study of the nature of light is one of the main topics of the Italian physics curriculum. The polarization of light and the specific mathematical tools (vectors, matrices, and complex numbers) needed to describe it are the basis for the description of discrete quantum systems. This makes the study of polarization a relevant paradigmatic example to be included in high school physics curricula, even if the mathematical support required seems quite challenging for students. We have devised a Continuous Professional Development (CPD) program for in-service physics teachers aimed at designing a comprehensive teaching-learning sequence on polarization.
Teacher identity in science education – Results of an empirical study on first- and third-person narratives
Authors: Veith J M , Bitzenbauer P
Published: July 2022

We discuss the term teacher identity and its significance for teacher education and teachers’ professional development. From the literature, we derive a definition of the term that associates teacher identity with first- and third-person narratives. In this way, the construct teacher identity becomes operationalizable in empirical studies: Therefore, we conducted a first exploratory study with N = 89 science and non-science teachers at five German secondary schools. This study’s results indicate that the approach of identifying the construct teacher identity with first- and third-person narratives could be fruitful for future empirical research in this field.
A computer scientist’s reconstruction of quantum theory*
Authors: Westerbaan Bas , van de Wetering John
Published: July 2022

The rather unintuitive nature of quantum theory has led numerous people to develop sets of (physically motivated) principles that can be used to derive quantum mechanics from the ground up, in order to better understand where the structure of quantum systems comes from. From a computer scientist’s perspective we would like to study quantum theory in a way that allows interesting transformations and compositions of systems and that also includes infinite-dimensional datatypes. Here we present such a compositional reconstruction of quantum theory that includes infinite-dimensional systems. This reconstruction is noteworthy for three reasons: it is only one of a few that includes no restrictions on the dimension of a system; it allows for both classical, quantum, and mixed systems; and it makes no a priori reference to the structure of the real (or complex) numbers. This last point is possible because we frame our results in the language of category theory, specifically the categorical framework of effectus theory.
Lattice conformation of theta-curves accompanied with Brunnian property
Authors: Kim Hyoungjun , Lee Hwa Jeong , No Sungjong , Oh Seungsang , Yoo Hyungkee
Published: July 2022

A theta-curve is an embedding of the Greek letter Θ shaped graph in three-dimensional space. This is a useful physical model for polymer chains since theta-curve motifs are often present in many circular proteins with internal bridges. A Brunnian theta-curve is a nontrivial theta-curve with the property that if we remove any one among three edges, then the remaining knot can be laid in the plane without crossings. We focus on the rigidity of polymer chains with the Brunnian theta-curve shape by using the lattice stick number which is the minimal number of sticks glued end-to-end that are necessary to construct the theta-curve in the cubic lattice. The authors have already shown in a previous research that at least 15 lattice sticks are needed to construct Brunnian theta-curves. In this paper, we improve the lower bound of the lattice stick number for Brunnian theta-curves to 16.
Quantum monadic algebras
Authors: Harding J
Published: July 2022

We introduce quantum monadic and quantum cylindric algebras. These are adaptations to the quantum setting of the monadic algebras of Halmos, and cylindric algebras of Henkin, Monk and Tarski, that are used in algebraic treatments of classical and intuitionistic predicate logic. Primary examples in the quantum setting come from von Neumann algebras and subfactors. Here we develop the basic properties of these quantum monadic and cylindric algebras and relate them to quantum predicate logic.
Assessment of heavy metals and nutrients availability in oil palm plantation effected by bauxite mining using geostatistical and multivariate analyses
Authors: Mazidah Z , Amalyn A , Shuhada N T , Fuad M M , Fikriah F , Izzuddin M A
Published: July 2022

The study aimed at evaluation of soil heavy metals in oil palm plantation and selected nutrients availability effected by mining. It was investigated using multivariate and geostatistical analyses followed by assessment using environmental indices. Samples were collected from both mining and oil palm cultivated area, prepared, and analyzed using ICPMS. Semi-variogram and kriging were done by using GS+ and ArcGIS 10.8, respectively. Content of Cu, Cr and Zn were higher compared to the Dutch target values and the 95% ‘Investigation Levels’ determined for Malaysia soil, while Pb showed a lower value. Analysis of Principal Component suggested that the heavy metals were from one source of contamination, particularly the mining activities and long-term agricultural practices. Geostatistics analyses revealed that Zn, Cu, Pb and Fe confront to a strong spatial dependence structure and in line with multivariate and statistical analysis, except for Cr, which had a moderate spatial dependence. Geoaccumulation Index demonstrated contamination occurred in the order of Cr>Cu>Fe>Zn>Ni>Pb. The heavy metals contamination has impacted the micronutrients contents as lower K, Ca and Mg were observed. These findings highlight that combining multivariate and geostatistical analysis can be valuable tools for assessing environmental contamination.
Monitoring of mangroves changes in Pulau Kukup using geographical information system (GIS)
Authors: Nordin Nur Hazimah , Rahman Ainul Husna Abdul , Wahab Norshahriah Abdul , Sembok Tengku Mohd bin Tengku , Shukran Mohd Afizi bin Mohd , Yunus Mohd Sidek Fadhil Mohd , Isnan Sarah
Published: July 2022

Mangroves forests provide a support to the coastal livelihood, ecosystem, socioeconomic and also the environment. In Malaysia, the mangroves forest has been in declining rate causes by a few factor such as conversion to shrimps ponds, urban development and tourism. Such threats led to increasing demand for detailed mangrove maps for the purpose of measuring the extent of deterioration of the mangrove ecosystem. However, it is difficult to produce a detailed mangrove map mainly because mangrove forest is very difficult to access. Remote sensing technology provides a genuine alternative to the traditional field-based method of mangrove mapping and monitoring. This study analyses and map the mangrove forest changes at Pulau Kukup, Ramsar Site Johor from 2013 until 2021 using the Normalized Difference Vegetation Index (NDVI). The findings of this study are the mangrove forests in Pulau Kukup, Ramsar Site Johor, revealed an unfavourable shift leading to deforestation from 2013 to 2016. However, between 2019 and 2021, the mangrove forest improves as the forest’s vegetation grows.
A review of Google Earth Engine application in mapping aquaculture ponds
Authors: Rajandran Arvinth , Tan Mou Leong , Samat Narimah , Chan Ngai Weng
Published: July 2022

Google Earth Engine (GEE) can effectively monitor aquaculture ponds, but it is underutilized. This paper aims to review the application of GEE in mapping aquaculture ponds around the world using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method. A total of 16 journal articles have been identified since 2019 from the Scopus and Science Direct databases. Most of the studies were conducted in China and United States using the Sentinel-2, Sentinel-1 and Landsat 8 images. Random Forest and Decision Tree are commonly used machine learning classifiers in GEE-based aquaculture ponds mapping studies. In general, some studies reported that GEE can extract the spatial distribution of aquaculture ponds with great overall accuracies, which are more than 90%. Difficult to detect small ponds and misclassification due to similar spectral reflectance are among the limitations reported in previous studies. Future research directions include incorporation of more aquaculture pond extraction techniques and different types of satellite images in GEE.
Assessing Safety Level of Affordable Housing Based on Safe City Concepts
Authors: Ali Salwa Najlaa Mohamad , Tarmidi Zakri , Maimun Nurul Hana Adi , Noor Noorsidi Aizuddin Mat , Hassan Noordyana , Sidek Akhmal , Nasir Ahmad Nabil Mohd , Ramly Zuhaili Mohamad
Published: July 2022

Safety of residential areas, especially affordable housing has become an important aspect, and has been listed as part of Sustainable Development Goal (SDG) initiatives by the United Nation (UN). Several initiatives on measuring the safety level have been proposed, including Safe City Index 2019, Safe City Program, Defensible Space Concept, crime prevention through environmental design (CPTED), Smart Sustainable Cities, etc. However, some of these initiatives focus only on crime, others focus on steps to improve safety and other models that are broader but not specific to safety. Besides that, these models place less emphasis on the aspects of spatial assessment, especially the safety level assessment based on affordable housing location in Malaysia. To handle these issues, this study’s aim is to enhance current indicators to assess the safety level of affordable housing, using Kuala Lumpur, Malaysia as a case study area. This study identified 6 indicators; crime, safety and security, infrastructure security, accessibility, natural disaster, and health security. Spatial analysis was done based on the indicators, and from the results, it shows that almost all of the affordable housing score are more than 50%, with the highest score is 76.50%, and the lowest score is 44.7%. This indicator can be used as a basis to assess the safety level of affordable housing, especially in Kuala Lumpur, Malaysia.
Reinventing Operation Through Visual Asset Management System & Digitalization
Authors: Masrom Mohd Nazri Bin , Rizal Afiq Bin Juazer , Kee Tham Siew , Mustafa Saiful Nizam Bin
Published: July 2022

As a data-driven organization, PETRONAS increases the demand for remote or autonomous operations on assets management. Visual Asset Management System (VAMS) is based on digital twin technology which digitalize asset inventory records and integrates multiple data sources that integrate engineering drawings, geo-tagged videos and 360° photographs with high intensity of spatial information in a cloud-based database. Intuitive dashboard showing the asset inventories allow asset management team to trace each inventory efficiently in a virtual reality model. A Proof-of-Concept (POC) of the VAMS was carried out on two newly installed offshore platforms. The findings showed that the centralized digital platform is effective for not only asset management but also production and maintenance operations. The POC results also demonstrated that VAMS minimize possible Health, Safety, Security and Environmental (HSSE) risks and exposure whereby site visit to the facility, safety induction, and HSSE walkabouts can be performed effectively in a safe virtual reality environment. This paper describes the POC and the implementation of VAMS for the two newly commissioned offshore facilities. It also discussed the technical challenges during the implementation, the perceive value creation, and the potentials and opportunities of the technology that we can leverage on to other fields or applications.
Coastal land-use mapping along Johore Straits using Sentinel 1-SAR data with maximizing parameterization of machine learning classification
Authors: Chen Shin Yi , Hashim Mazlan , Idris Nurul Hazrina
Published: July 2022

In tropical regions, cloud cover accounts for a major obstacle to detect the coastal land-use while adopting remote sensing technology. The advent of the latest Sentinel-1 C-band synthetic aperture radar (SAR) satellite provides advantages to collect data in all-weathered conditions. In this study, Sentinel-1 images are processed using Lee filter and GLCM-Mean texture analysis in order to enhance the classification results. Several sets of parameters have been tested and these resulted in the optimum overall accuracy by Neural Network with 79.00% in 2015 and 68.29% in 2019. In contrast, Support Vector Machine classifiers obtained overall accuracies of 77.44% and 71.26% in 2015 and 2019 respectively. The results were accessed and it is found that Support Vector Machine outperforms the Neural Network classifier in discriminating data with high heterogeneity properties. Besides, Support Vector Machine has more consistent results in parameter testing compared to Neural Network.
Estimating land surface temperature to study land use land cover influence on the temperature in a city with a dry arid climate
Authors: Albakri Naseeb Asaad , Al-Ruzouq Rami , Shanableh Abdallah , Zeiada Waleed , Hamdan Hamdan
Published: July 2022

Turning arid regions or forests into urban areas (Urbanization) is affecting the global temperature. This effect is intensifying due to uncontrolled urban growth. To understand the influence of land use land cover (LULC) on land surface temperature (LST) in dry arid climate cities like Sharjah, UAE, 2 Landsat 8 images were used to retrieve the LST, one in summer and one in winter by using the radiation correction equation in google earth engine. Supervised classification of a high-resolution image from worldview-3 will produce the LULC map. In addition, hourly ground temperature data (GT) is retrieved from 6 field stations to validate LST and find the correlation if it exists. The LST images were then compared to the different LULC, to find relationships between the two. This study showed that barren soil experienced the highest LST when compared to vegetation and urban areas, and vegetation areas experienced the lowest temperatures compared to all other LULC, finally, urbanization that was combined with green lands can have a positive impact on the temperature in cities with dry arid climates. This study proves that understanding the effects of urbanization on temperature accurately will aid greatly in the future planning of cities.
Interferometric synthetic aperture radar coherence constraints in heavily vegetated tropics
Authors: Chindo Musa Muhammad , Hashim Mazlan , Rasib Abdul Wahid
Published: July 2022

Success of Interferometry Synthetic Aperture Radar (InSAR) technique for deriving digital elevation model (DEM) in the heavily vegetated humid tropic using Sentinel-1 SAR has been controversial, owing to the difficulty in achieving good coherence. Yet achievable coherence with Sentinel-1 SAR over the heavily vegetated humid tropic has rarely been reported. Consequently, this paper evaluates coherence achievable with Sentinel-1 SAR over the heavily vegetated humid tropic. Twelve Sentinel-1 SAR over part of Johor selected based on perpendicular and temporal baselines considerations, were used as pairs of six reference and secondary images respectively and processed using Sentinel Application Platform (SNAP) to derive coherence maps and analysed accordingly. The result shows that regardless of image pairs baseline characteristics, coherence of above 0.6 over the heavily vegetated humid tropic with Sentinel-1 SAR can only be achieved in barely 10% of the study area. This result shall serve as eye-opener to geoscience community, especially SAR enthusiast looking forward to leveraging on SAR clouds penetrating ability; and Sentinel-1 SAR open access and short revisit circle to apply Sentinel-1 SAR in deriving DEM over heavily vegetated humid tropical environment. However, future studies shall focus on assessing consistency of good coherence patches and their usability in acquiring elevation.
Covid-19 pandemic induced spatio-temporal changes in human activity in the United Arab Emirates using night-time light data
Authors: El Traboulsi Y , Al-Ruzouq R , Hamad K , Shanableh A , Khalil M , Gibril M
Published: July 2022

The COVID-19 pandemic outbreak in early 2020 impacted people’s lives and the working environment and led to a drastic change in human activities. This has opened a window to analyze the people’s response to the safety measures implemented to contain the virus, which can be reflected and monitored using Night-time light (NTL) images. This study aims to demonstrate the use of NTL images captured by satellites to detect changes in human activity in the UAE before and during the pandemic. The study period will include the pandemic year and the previous years (2017-2019) will be used as a control. Raw NTL data was pre-processed to obtain cloud-free radiance images through which the monthly average radiance was calculated. The monthly average radiance is categorized into three classes: residential, commercial, and roads. The radiance levels during the lockdown were compared against the months prior to the restriction imposed. The results revealed that the roads category showed the highest decrease in radiance levels due to the enforcement of the safety measures, followed by the commercial category, whereas the least reduction was observed for the residential category. The results show how NTL radiance could be used in monitoring the changes in human activities.
Spatial Information for Disaster Risk Management: The Constraints, Limitations and Opportunities from JUPEM Perspective
Authors: Hassan H , Abdul Rahman S A F S , Ahmad F
Published: July 2022

The age of spatial information has undoubtedly unlocked the potential in visualising, investigating, and forecasting natural disasters, especially for policymakers. From this viewpoint, the implementation of spatial data has drastically transformed the traditions through which human civilisations embrace natural disaster management policies to reduce loss of life and economic losses. Unfortunately, each natural disaster is harmed varied and has different impacts locally. The various environmental and climate factors for mega-landform diversity countries like Malaysia play a crucial role in causing natural disasters and limiting the agency’s ability to obtain geomorphological spatial information during and after the incident. Therefore, this paper will analyse the constraint faced by Department of Survey and Mapping Malaysia (JUPEM) in providing spatial data for stakeholders based on a case study of natural disasters in Gunung Jerai, Kedah. All six (6) identified constraints, including time, climate, system, data, equipment, and human constraints, were examined. The opportunities to enhance the existing JUPEMs’ policies for natural disasters were highlighted from the JUPEM perspective. The prospects for empowering Subject Matter Expert (SMEs), equipment maintenance and improvement, annual disaster preparation, and enhancement of JUPEMs’ Peraturan Tetap Operasi (PTO) for disaster management were discussed in this paper.
Asset Management in Malaysia: Current Status
Authors: Nasir Amalin A’ishah Mohd , Azri Suhaibah , Ujang Uznir
Published: July 2022

Asset management is a rapidly growing practice in response to changes in urban development and becoming one of the important practices in Malaysia. As a result, the Malaysian government has raised awareness of asset management to manage and maintain government assets. Thus, the Malaysian government has established MySPATA, a fixed asset management system used by all government ministries to help agencies standardize, manage, and monitor fixed assets. The four asset management documents used in MySPATA are the Government Asset Management Policy (DPAK), Government Comprehensive Asset Management Manual (MPAM), Government Immovable Asset Management Procedures (TPATA), and Immovable Asset Management System. Asset management is concerned mainly with operating assets in Malaysia, including their management, monitoring, maintenance, and disposal. Government agencies are charged with supervising governments and enabling the delivery of public services. Thus, asset management policies and processes are critical for delivering and assisting in effective asset management. Asset management must be effective and efficient to ensure that the assets provided can be handled and utilized for the intended purpose. This study examines Malaysia’s current asset management practices and identifies the advantages and disadvantages of the current approach.
Critical success factors for geospatial data sharing in disaster management
Authors: Valachamy Mageshwari , Sahibuddin Shamsul , Ahmad Nur Azurati , Bakar Nur Azaliah Abu
Published: July 2022

Globally, the rise of disasters has caused billions of dollars lost each year. These include the loss of properties, life and has created a negative impact on socioeconomic level of a country. Currently, geospatial datasets are becoming crucial for situational awareness and management of disasters. The timely and accurate information on disastrous occurrences must be collected, maintained, and managed for efficient management of emergency. These geospatial datasets are from different data provider agencies. Thus, there is a need to focus on the geospatial data sharing that would benefits the authorities in decision making. This initiative entails high commitment and collaboration from the data provider agencies, which can be achieved through the sharing of geospatial datasets approach. This study aims to identify the critical success factors of geospatial data sharing in the context of natural disaster. A preliminary review, focus group discussion and interviews were conducted to get insights of the subject being studied. The findings revealed that there are thirteen (13) critical success factors for geospatial data sharing in disaster management. Technology, Organisation, Social, Environment, Ecology and Economy are the dimensions identified and mapped accordingly to the thirteen critical success factors.
State-of-the-Art Review of Assessing Water Quality from Space
Authors: Prapti D R , Shahar N A N , Shariff A R B M
Published: July 2022

Water acts as the medium which helps supply seafood and freshwater food for human consumption and drinking water. It is thus imperative that such a precious resource should be well monitored to safeguard human health and survival. Conventionally water quality can be monitored through manual laboratory-based methods which are time-consuming. Ground-based sensors are helping in expediting this task, though it involves the use of multiple sensors at various locations and requires regular maintenance and replacement. Satellite technology provides a good alternative method as it can scan large areas at a relatively low cost. Measurements of parameters such as sea surface temperature, total suspended solids (turbidity), primary food production (chlorophyll A), abnormal movement of aquatic animal, disease occurrence, water oxygen deficiency, growth monitoring of aquatic life and many others have been successfully reported in the literature. With the advent of micro-satellites that can transmit higher resolution images with a finer spectral resolution, greater advancements can be made for the detection of a greater number of critical water quality parameters. This paper reviewed the existing status of the water quality monitoring from space technology and covered published research done in various parts of the globe, including the problems, solutions, algorithm used, the advantages of the study, research region, water bodies, water quality variable, and satellites data.
Assessing the Suitability of Affordable Housing Based on Demand Criteria
Authors: Zamri Zur’ain , Tarmidi Zakri , Maimun Nurul Hana Adi , Hassan Noordyana , Nasir Ahmad Nabil Md , Sidek Akhmal , Che’Ya Nik Norasma
Published: July 2022

Affordable housing has become essential to provide housing with affordable prices, but most of the locations of affordable housing are often not suitable with the people’s demand. To assess the suitability of affordable housing, several initiatives has been developed, to match the demand and location of the affordable housing, but most the models lacks of spatial element, other model focusing on the goal related to site suitability to cities, and people’s preferences of housing. This study aims to integrating spatial information and analysis to assessing the suitability level of affordable housing in Malaysia. This assessment model consists of 3 main indicators; suitability house according to neighbourhood context, demographic factor and commute distance. The method use in this study is using multi-Criteria Analysis, using weighted scoring techniques. The results show that most of the affordable housing score more than 60% average, with the highest score are 84% and the lowest score are 57.9%. this shows that the suitability level of affordable housing in the study area is good. These indicators can be used for further investigation of other affordable housing, and also in finding the suitable site for affordable housing in the future.
Discriminant Analysis for Predicting Post-Earthquake Municipal Road Recovery
Authors: Wu Jieling , Saito Mitsugu , Endo Noriaki
Published: July 2022

In the event of a widespread natural disaster, the speed of recovery is greatly affected by the priority given to road recovery, not only in terms of assessing the extent of the damage but also in terms of providing rapid assistance to the affected areas and carrying out recovery activities. The purpose of this study is to simulate the recovery of local roads in the Tokai region (Shizuoka, Aichi, and Mie prefectures) in Japan after the Nankai Trough earthquake, which is expected to occur in the future. From the previous analysis of driving data in the Tohoku region (Fukushima, Miyagi, and Iwate prefectures) in Japan during the first six months of the 2011 Tohoku earthquake, we discovered regional characteristics and other factors that affect road recovery. In this study, we continued to analyze and quantify the influencing factors in each pattern of road recovery and applied discriminant analysis to construct a predictive road recovery model. The model showed an accuracy rate of 72.4%. In addition, we used this model to predict municipal road recovery in the Tokai region after the Nankai Trough earthquake in the future and mapped it on a geographic information system (GIS).
An analysis of multidimensional poverty in Nigeria using statistical and geospatial modelling: A case study of Jigawa state
Authors: Gambo Jibrin , Shafri Helmi Zulhaidi Mohd , Yusuf Yusuf Ahmed
Published: July 2022

Despite recent advances in reducing poverty across the world, millions of people remain on the verge of or already living in severe multidimensional poverty especially in third world nations. The poor in Nigeria suffer from a feeling of voicelessness, helplessness, mistreatment, a complete lack of capacity to influence important choices that impact their life, and a lack of social networking inside state and societal organisations. The goal of this research is to conduct a geospatial analysis of Nigeria’s multidimensional poverty and to identify the geospatial distribution pattern of poverty in Jigawa State as a case study. As a result, comprehend the causes of Jigawa’s complicated poverty condition and to create the state’s first ever poverty map. Also, to look at the country’s poverty trends, with a particular emphasis on Jigawa. The National Bureau of Statistics provided the headcount poverty statistics for Nigerian states, which were downloaded and analysed using simple geospatial approach. The findings revealed a dynamic pattern in Nigerian state poverty from 1996 to 2019. The distribution of poverty in Jigawa state, as a case study, revealed that physical and natural environment resources play a critical role in the state’s high poverty rate. Natural drainage, fertile soil, flat topography, and vegetation pattern all aid other people’s poverty levels in different parts of the state. Future study will examine the linking between environmental, social, religious, and political factors and multidimensional poverty using a geospatial method to map the state’s poverty, which has consistently ranked at the bottom of the Nigeria States Poverty Index.
Seagrass Habitat Suitability Models using Multibeam Echosounder Data and Multiple Machine Learning Techniques
Authors: Muhamad M A H , Che Hasan R
Published: July 2022

Seagrass beds are important habitats in the marine environment by providing food and shelter to dugongs and sea turtles. Protection and conservation plans require detail spatial distribution of these habitats such as habitat suitability maps. In this study, machine learning techniques were tested by using Multibeam Echo Sounder System (MBES) and ground truth datasets to produce seagrass habitat suitability models at Redang Marine Park. Five bathymetric predictors and seven backscatter predictors from MBES data were used to representing topography features and sediment types in the study area. Three machine learning algorithms; Maximum Entropy (MaxEnt), Random Forests (RF), and Support Vector Machine (SVM) were tested. The results revealed that MaxEnt and RF models achieved the highest accuracy (93% and 91%, respectively) with SVM produced the lowest (67%). Depth was identified as the most significant predictor for all three models. The contributions of backscatter predictors were more central for SVM model. High accuracy models showed that suitable habitat for seagrass is distributed around shallow water areas (<20 m) and between fringing reef habitats. The findings highlight that acoustic data and machine learning are capable to predict how seagrass beds are spatially distributed which provide important information for managing marine resources.
A Review of Current Development of Altimetry Technique for Tidal and Water Level Measurement Practices and Its Relevance to Energy Industry Applications
Authors: Nugroho Kristiawan Tri , Din Ami Hassan Md
Published: July 2022

With massive geospatial coverage and adequate time series of sea surface height, spatio-temporal multi-mission satellite altimetry tidal modelling emerges as a profound potential solution for increasing accuracy and minimising variation across multiple offshore applications. Therefore, this article attempts to review the current implementation of satellite altimetry in the applicable area of studies relevant to conventional oil and gas applications toward sustainable energy applications. The implication of current spatio-temporal enhancement of tidal measurement by satellite altimetry at the coastal area and the offshore zone is discussed mainly to elaborate on current achievement as well as to gauge potential future optimisation for offshore applications in the energy industry. Spatio-temporal enhancement in conventional oil and gas field applications improves the integration of various offshore construction applications. The impact of this application is more significant as engineering construction adopts stringent and higher vertical data accuracy acceptance criteria. More comprehensive spatial information coverage of tidal regime, co-tidal range, the offshore co-tidal pattern should be more accessible by more intensive spatio-temporal enhancement attempts in various studies and implementations. This leads to higher reliability and integrity of offshore vertical references derivation.
Application of geographical information system (GIS) using artificial neural networks (ANN) for landslide study in Langat Basin, Selangor
Authors: Selamat Siti Norsakinah , Majid Nuriah Abd , Taha Mohd Raihan , Osman Ashraf
Published: July 2022

The landslide was recognized as the most common geologic hazard around the world. The assessment of the relationship landslide conditioning factors is a critical step in managing landslide hazards and risks. Several models have been made to develop the landslide model in recent years. The Artificial Neural Networks (ANN) model was used in this study to develop a landslide model and to identify the most important landslide conditioning factors. Eight conditioning factors, including elevation, slope, aspect, curvature, lithology, soil series, Topographic Wetness Index (TWI), and rainfall, were selected and analyzed using the Geographical Information System (GIS) approach. The multilayer perceptron module and one hidden layer method extracted weighted conditioning factors. The landslide model was validated using the area under the curve (AUC) method. This model validation showed a success rate for training and testing is 0.876, respectively. This study found curvature is the most crucial factor affecting landslide occurrence in the Langat Basin with a 0.213 weight index, followed by rainfall (0.143) and elevation (0.141). Finally, the landslide model can be used as an indicator to identify the most important landslide conditioning factors and assess the relationship between these factors and landslide occurrences.
Suitability modelling: an application to forest road development planning in Peninsular Malaysia
Authors: Kamarudin Norizah
Published: July 2022

The development of modelling applications with Geographic Information System (GIS) has been widely used for planning and analysis. It is a vital technology that can be integrated with multi-criteria evaluation decision support system for problems solving process. This paper presents the model development for suitability forest road planning for the forestry department of Peninsular Malaysia’s application. Multiple significance preferences factors concerned with suitable forest road allocation were selected for the model development, such as slope constraint, elevation factor, the buffer zone of the river, and distance from the existing road. In conclusion, this model is developed to help forest managers sustainably manage the forest, particularly in commencing the forest harvesting operation, which has been widely reported as the main cause of negative environmental impact.
A short review on transition metal chalcogenides/carbon nanocomposites for energy storage
Authors: Salarizadeh Parisa , Rastgoo-Deylami Mohadese , Askari Mohammad Bagher , hooshyari Khadijeh
Published: July 2022

Introducing suitable electrode materials and electrolytes for supercapacitors and next-generation batteries should be considered for the industrial application of these devices. Among the proposed materials for them, transition metal chalcogenides (TMCs), are attractive and efficient options due to their unique properties such as appropriate layered structure, good oxidation state of transition metals, high thermal and mechanical stabilities, etc. However, applying other layered materials with high electrical conductivity e.g. carbon-based materials can lead to producing remarkable results for the mentioned applications. However, an interesting point is how making TMCs composite with different types of carbon materials leads to improve electrochemical and structural properties of TMCs as active materials. In the present short review, the structural and electrochemical improvements of different types of TMC composites with carbon-based materials and their mechanism are investigated for supercapacitors and next-generation rechargeable batteries.