bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Complexity, Coherence, and Imageability on Visual Preference of Urban Street Scenes
Authors: Ernawati J 
Published: May 2021

Abstract
This study meant to explore the role of several visual quality concepts, i.e., complexity, coherence, and imageability, on people’s preference for street scenes in the urban area. The study chose three different street characteristics in the town of Malang-Indonesia as the case study sites that consist of commercial street, historic commercial street, and historic residential street. This research applied a field survey using a questionnaire with a five-point Likert scale and seven-point multiple rating scale techniques. There were 363 respondents participated in the survey. Data analysis employed descriptive statistics and simple regressions analysis to identify the influence of complexity, coherence, and imageability quality on urban street scenes’ visual preference. Results indicated that coherence and imageability consistently play essential roles in people’s preference for the three types of street scenes. Meanwhile, complexity quality only influences visual preference on a historic residential street and does not influence people’s preferences on commercial streets.
The Dynamics of Productive and Non-Productive Spaces in Coastal Tourism Areas in Denpasar
Authors: Nurwarsih Ni Wayan , Maha Putra I Nyoman Gede 
Published: May 2021

Abstract
Tourism in Bali has redefined the use of space. The formation of new activities carried out by new users, has changed the way people use space. Spaces exist because they form and some use, create governance and bring up spatial practices that may be hampered by the current digital age. This research will examine the process of redefinition of space, the formation of productive and non-productive spaces in accordance with the representation expected by the community. In this study, Sanur Beach, a traditional area that has become a tourism space, will be used as a case study. The method Qualitative, by mapping activities based on time segments for space use, interviews to determine user expectations and experiences, identifying patterns to find out how governments regulate space and building data representations through simulations of the movement of space users. The most significant result is the presence of a new identity in the meaning of space, which has been transformed due to spatial practices that are influenced by space users and the development of digital technology. Thus, the use of space in the era of global tourism in which different cultural backgrounds of space users affect the definition of space. This is where the space planner needs to consider how the representation of space by the user has implications for the regulations of the government and customary regulation.
Geospatial Analysis on the Impact of Road Defects on Motorcycle Accidents
Authors: Amir Muhammad Hizamuddin Mohd , Naharudin Nabilah 
Published: May 2021

Abstract
Road accident rate in Malaysia keep increasing over the year. Since then a lot of precaution step, research, life and cost taking apart. However, most of road accident cases are from the group of motorcyclists. To overcome and controlled this trend, the Malaysia society should be aware as a group, because this problem cannot be solved in a single entity. In the identification of the cause of road accidents, decision-makers often need as much information as possible before attempting to make decisions about appropriate measures. Accurate statistical prediction and visualization of information graphically are important for the study of road accidents. Geographic Information System (GIS) technologies, has been applied in this study for analysing the distribution of road accidents and their factor. The main issue that has been focus for this study is the impact of road defect for the motorcycle accident cases in the study area. By using GIS technologies, this is the best medium to determine the relationship of road defect impact in road accidents and for the road safety especially for the group of motorcyclists as well as for effective supervision. GIS tools have become one of the most commonly used programs for the various fields of study and project. It has been widely used in a variety of applications for planning, presenting and analysing the data and result.
Analysis of the Relationship between Forest Fire and Land Surface Temperature using Landsat 8 OLI/TIRS Imagery
Authors: Junaidi Siti Nurhaliza , Khalid Nafisah , Othman Ainon Nisa , Hamid Juazer Rizal Abdul , Saad Nurhafiza Md 
Published: May 2021

Abstract
Forest fires are the main threat to the sustainability of forests around the world destroying the valuable forest biodiversity and nearby infrastructure. Forest covers provide shading, cooling the environment, and lower thermal absorption. However, the changes in forest cover due to forest fires increase the land surface temperature (LST) locally. This study is aimed to analyze the relationship between forest fires and LST using Landsat-8 OLI/TIRS imagery in Kuala Baram, Sarawak. More than 1500ha of forests and plantations have been destroyed after 26 days of fires, deteriorating the air quality to hazardous levels, damaging the nearby house and infrastructure. The differenced normalized burn ratio (dNBR) between pre-fire and post-fire NBR was used to estimate the burn severity categories in Kuala Baram, Sarawak. It was found that the burn severity ranges from moderate-low to moderate-high levels. The correlation between forest fire and LST in Kuala Baram, Sarawak in June 2019 and September 2019 was calculated using Pearson’s correlation coefficients. It indicates the strongest negative relationship between NBR and LST in pre-fires (R2 =-0.985) and post-fires (R2 =-0.996). The findings from this study showed that forest fires also affecting the land surface temperature of Kuala Baram, Sarawak along with the physical damages that have been diminished from the forest fires occurrences.
Identifying Suitable Areas for Plantation of Organic Products Using GIS and AHP
Authors: Mohd Zaini J C , Saraf N Mohamed , Naharudin N , Abdul Rasam A R , Hashim N 
Published: May 2021

Abstract
Organic farming is a technique, which involves cultivation of plants in natural ways. In Malaysia, because the organic food industry is still small-scale, over 60% of organic foods are still imported and it is not possible for the availability and output of organic goods to meet the local demand and need. This study was intended to utilize the GIS and AHP technique to identify suitable areas for organic farming in Sabak Bernam, Malaysia. The study was conducted based on the objectives where criteria for organic farming were identified through background research. Pair-wise comparison (PWCM) method using questionnaires answered by experts were used to determine the weights for each of the parameters used. For this study, seven (7) criteria were considered. The criteria were then weighted according to importance and those weighted criteria were combined to produce a suitability map. A site suitability model was built using the Modelbuilder tool in Arcmap. The model used the AHP and Weighted Overlay basis which provides promising result for the analysis of finding suitable sites for organic farming. Results obtained showed that the majority of land within the Sabak Bernam district is suitable to carry out organic cultivation where the land is far from road networks, contains high organic matter content, gentle slopes with flat aspects low elevation and less than 10 meters from drainages. While land deemed not suitable involves land in dense urban area. This simultaneously means that the land is too close to road networks where underground contamination is a major possibility.
The Production of Assets Inventory by using a 360-degree Camera Mobile Mapping System in Langkawi, Malaysia
Authors: Abdullah S , Tahar K N , Rashid M F A , Osoman M A , Abdullah F 
Published: May 2021

Abstract
Asset management system is a crucial element of a utility project because it helps a company to inspect the asset inventory systematically. Besides, it improves productivity and proficiency of companies to position them better and increases their return on investment. The traditional system of data collection is very tedious in producing an asset inventory system. This study offered a mobile mapping system (MMS) by using 360-degree cameras to reduce the time and cost involved in data acquisition. The aim of this study was to locate, digitise, measure, and tag the assets along the street network. The efficiency of these 360 technologies was investigated to obtain asset data for a 3D street view utility mapping and provide important information. The obtained image will be used to determine the location of observed asset. The digitising process was required to label the detailed asset information as well as map the asset. This technology consists of a combination of camera, Global Navigation Satellite System (GNSS), and Inertial Measurement Units (IMU). The efficiency of this technology was tested by mounting it on a vehicle such as car or motorcycle. The geo-referenced images were derived by using sensor models and were pro-cessed to produce a 2D information mapping for utility purposes. The study resulted in producing a digital map with Geographical Information System (GIS) spatial data and 360-degree imagery. Having such a system in place allowed to track the overall achievements of asset inventory, and thus utilised efficiency.
Evaluating the Performance of the state-of-the-art HybridSN Deep Learning Algorithm for Airborne Hyperspectral Image Classification
Authors: Abidin M A A M , Shafri H Z M , Al-Habshi M M A , Shaharum N S N 
Published: May 2021

Abstract
This study aims to evaluate the performance of state-of-the-art HybridSN deep learning algorithm versus standard machine learning (ML) and deep learning (DL) techniques using open-source Python libraries for producing hyperspectral land use and land cover (LULC) classification maps. Japanese Chikusei hyperspectral datasets captured by the airborne platform using Hyperspec-VNIR-C sensor were used in this study. Standard ML methods used in this study were support vector machine linear kernel (SVM-linear), support vector machine radial basis function kernel (SVM-RBF) and random forests (RFs) that were provided in Python’s Scikit-learn library. DL techniques used in this study were multilayer perceptron (MLP), two-dimensional convolutional neural network (2-D CNN) and hybrid spectral convolutional neural network (HybridSN), which integrates the 2-D and 3-D feature learning. These DL models were built based on the sequential model using Keras API. The results show that all the proposed methods obtained overall accuracies (OAs) above 95%. The HybridSN and 2-D CNN models gave the best score with 99.97% OAs for hyperspectral image classification using the Chikusei dataset.
Integration of Aerial Photography, Airborne LiDAR, and Airborne IFSAR for Mapping in Malaysia
Authors: Hassan H , Rahman S A F S Abdul 
Published: May 2021

Abstract
Aerial mapping is now widely used for plenty of applications especially in generating digital terrain models. In this Industrial Revolution 4.0 era, the digital product is integrated with each other to add a new value-added into industries. Therefore, the aim of this paper is to deliberate the integration process between aerial photography, airborne LiDAR, and airborne IFSAR for enhancing the airborne IFSAR quality and come out with new value-added aerial mapping products. The aerial photography was used to enhance the ORI IFSAR imagery through the image fusion method and LiDAR DTM was used to enhance the accuracy of IFSAR DTM through the DTM fusion method. For image fusion, the result shows that colorized ORI imagery (CORI) was generated. On the other hand, terrain profiling analysis was conducted to validate the result of DTM fusion based on by using LiDAR DTM as a benchmark. The result shows that the fused DTM accuracy is nearest to LiDAR DTM compared to IFSAR DTM. This result also shows that new value-added aerial mapping products can be generated from this integration process.
Geospatial Approach for Coastal Vulnerability Assessment of Selangor Coast, Malaysia
Authors: Mohd F A , Rahman A A A , Maulud K N Abdul , Kamarudin M K , Majid N A , Rosli A 
Published: May 2021

Abstract
The The length of the coast of peninsular Malaysia is approximately 4,809 km long. Coastal erosion is recognized as the permanent loss of land and habitats along the shoreline resulting in the changes of the coast. Thus, the aim of this study is to determine the vulnerability of erosion of the Selangor coast caused by sea level rise events. In this paper, by using satellite imagery, both manual methods and coastal extraction processing have been examined. Six variables consist of the coastal vulnerability index (CVI), which are coastal geomorphology, coastal slope, erosion and accretion rate, mean wave height, mean tidal range, and the increase in sea level. Vulnerability levels are classified into five vulnerabilities for 8 management units along the Selangor coast which are very medium, medium, moderate, high and very high. The finding reveals that the level of vulnerability of MU 7 Pantai Jeram & Bagan Sungai Janggut is very high because the rate of erosion in the area is higher compared to other areas. Finally, the outcome of this study provides a framework that can be used by decision makers, and relevant authorities to implement mitigation and adaptation measures in the effort to deal with the impacts of climate change on coastal regions.
Feasibility Study on Walkable City Through Implementation of Car-Free Zones and its Effect on Traffic Movement in Georgetown, Penang Using GIS Network Analysis
Authors: Salleh Abdul Hakim , Naharudin Nabilah , Halim Maisarah Abdul , Ruslan Nurfadhilah 
Published: May 2021

Abstract
For many years of vehicle technology developments, people have a tendency to not be separated from it. Excessive reliance on vehicle especially personal cars causes large span of available spaces were dominated by it. This situation has led to many significant issues in both urban and rural area which include congestion, safety on the road, and environmental sustainability issues. In order to cater these degrading issues, the car free and walkable city concept was applied in this study. Through these concept, sequential reduction in the number of cars on the roads and shifting of people’s mode of transportation would be possible. The principle of walkability together with limitations of vehicle accessibility area as the criteria in car-free spatial modelling is applied and presented in terms of maps showing the areas to be designed as car-free zone. The percentage of Georgetown’s pedestrianized streets is determined in conjunction with an evaluation of the impact of car-free zones on the route, distance and time of travel, and also its traffic impact projections around the area. It is found from the results that every localized traffic has a longer traveling distance and much slower pace. However, the travel time is sometimes reduced due to the roads that have been diverted to allow for a higher travel speed.
Tree Detection with a Mobile Laser Scanner
Authors: Masiero A , Tucci G , Vettore A 
Published: May 2021

Abstract
Tree detection has been considered in a number of forest-related applications, mostly related to the need of determining the presence and position of trees, and, in certain cases, the associated biomass. Most of the tree detection methods are typically based on the use of LiDAR surveys, and they often aim either at determining tree crowns or stems. This paper proposes the use of a low cost hand held device to acquire a good spatial description of the area close to the track reachable by the operator holding the acquisition device. Then, a tree detection method based on the local application of the Hough trasform is presented. The performance of the system is checked in an area hit by the Vaia storm in 2018.
Comparing and Evaluating Macao Flood Prediction Models
Authors: Zhang Zeyu , Qiu Jiayue , Huang Xuefei , Cai Zhiming , Zhu Linkai , Dai Weijun 
Published: May 2021

Abstract
Climate change causes extreme weather in Macao, especially typhoons and flooding. In this paper, some raw flood data is missing from the Macao Meteorological and Geophysical Bureau, due to some flood sensors that were damaged during Typhoon Hato in 2017 and Typhoon Mangkhut in 2018. So we use data interpolation to construct new datasets and curve fitting to simulate real inundation depth. Besides this, we explore Neural Network, Long Short-Term Memory, Random Forest, Adaptive Boosting, and Linear Regression for analyzing, comparing, and evaluating the best combinations of flood prediction models, datasets, and scenarios caused by typhoon presence in Macao. Furthermore, we apply Bayes Network to the aforementioned models to evaluate the accuracy of predicting flood situations because of typhoons. The experiment results show that the different models achieve a different performance in predicting specific scenarios.
Research on Integration and Innovation of Anhui Food Eco-tourism Industry under the Concept of Green Development
Authors: Shen Dongsheng 
Published: May 2021

Abstract
Anhui’s food resources are rich and colorful, and the conditions for the development of food tourism are unique. The article introduces Anhui’s unique “special dishes”, “famous teas”, “flavor specialties” and “morning tea culture” and other gastronomic cultural resources, analyzes the current status and problems of the development of Anhui’s food tourism, and proposes the development of different guidelines for Anhui food tourism projects. Finally, giving advice on the development of Anhui food tourism from “cultivating leading food enterprises, establishing a sense of gourmet brand”, “creating a batch of local food tourism products”, “Establishing quality standards of Anhui’s local brands, famous delicacies, and special flavor products”, “Designing tourism routes with the help of Anhui celebrity culture and time-honored brands” and other six aspects.
Current Situation and Problem Analysis of R&D Technology Investment of Water Environmental Protection Company
Authors: Yang Rongrong , Meng Qingjun 
Published: May 2021

Abstract
In recent years, the importance of environmental protection and ecological civilization construction in China is increasing, the market demand of environmental protection equipment in China is increasing, and the related environmental protection equipment companies have also ushered in important development opportunities. As the primary link of innovation, increasing R&D investment has become an important measure for enterprises to enhance their core competitiveness. In environmental protection equipment companies, the competitive advantage of enterprises is the core technology, and the core technology is also the fundamental driving force for the development of environmental protection equipment companies. The most efficient R&D enterprises can usually lead the technological trend of the industry. Therefore, this paper mainly selects four representative listed environmental protection companies in the field of water environmental protection in the environmental protection equipment industry, and analyzes the R&D of the above environmental protection companies from the perspective of R&D intensity and R&D scale Technical input status and existing problems, and put forward corresponding solutions for reference.
Study on analytical detection technology of pesticide residue in agricultural product food safety
Authors: Duan Suran 
Published: May 2021

Abstract
China is a large agricultural country, and the long-term use of pesticides in the development of agriculture has a certain toxic effect on human health and safety, which may cause cancer, teratogenicity, mutagenicity and other related symptoms. Technical analysis of pesticide residue monitoring is an important method to protect food safety, and the analytical technology of pesticide residue in agricultural products in china has made substantial progress. In this paper, the research progress of modern pesticide residue pretreatment technology and detection technology were described, as well as the development trend of pesticide residue detection technology. On this basis, the application of ultra performance liquid chromatography-tandem mass spectrometry (UPLC/MS-MS) technology was proposed to establish a highly sensitive and rapid method for the simultaneous detection of eight kinds of pesticide residues in agricultural products. In order to provide reference for the in-depth study of pesticide residues.
Research on Green Application System of Energy Saving and Environmental Protection in Urban Gymnasium Greening Project
Authors: Yang Xiaodan 
Published: May 2021

Abstract
The rational utilization and protection of ecological environment and resources has become the main premise of social development and construction. In the planning and design of urban gymnasium greening project, the concept of green energy saving has been popularized and become the main idea of planning and design of new urban gymnasium greening project. Gymnasium has higher energy consumption than other buildings because of its different characteristics and usage. Therefore, the gymnasium has great influence on energy and environment. Energy-saving design of gymnasium plays a vital role in energy saving, environmental protection and ecological construction of gymnasium. The full text starts from practice, based on the on-the-spot investigation of the form of city gymnasium, and through the problems found during the on-the-spot investigation, discusses the solutions to the practical problems of city gymnasium, puts forward the design principles of the form of city gymnasium, and provides a referential guiding framework and theoretical basis for the design of city gymnasium.
The Effect of Energy Saving and Emission Reduction of Semi-External Window Installation
Authors: Bin Bai , Lei Lu 
Published: May 2021

Abstract
As an important part of passive ultra-low energy building envelope structure, exterior windows play a very important role in lighting, heat gain, and thermal insulation. Passive doors and windows are currently mostly installed externally, and high installation costs, material costs, and safety have become obstacles in the promotion of energy-saving policies. We calculated and simulated the linear heat transfer coefficient of the window opening based on the software flixopro8, and obtained the window installation position with the smallest linear heat transfer coefficient between the door and window and different wall structures and the decisive factors affecting the linear heat transfer coefficient of the door and window opening.