scholarly journals Implementation of Prototyping Method on Website Development of Land use Mapping

2019 ◽  
Author(s):  
Ginanjar Wiro Sasmito
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Limited Resource ◽  
The Other ◽  
Land Supply ◽  
Website Development ◽  
Other Hand ◽  
Speed Up ◽  
Urban Activity

Increasing diversity of urban activity attracts many people to try their fate in urban areas so as to heighten the flow of urbanization. This resulted in a large demand for land supply to accommodate the increasing number of city dwellers. On the other hand, land is a very limited resource and cannot be created or renewed, so the problem that often arises is the proliferation of slum and squatter areas in urban areas. The solution to the problem is to produce a land use website. By using the prototyping method of land use website is generated in order to speed up the development of website and to really fit with the wishes and needs of the client

scholarly journals Analisis Ketidakpastian dalam Memanfaatkan Lahan Pertanian di Desa Sukasari Kaler Kecamatan Argapura Majalengka

2018 ◽  
Vol 32 (1) ◽  
pp. 84
Author(s):  
Sudrajat Sudrajat
Keyword(s):  
Land Use ◽  
Data Analysis ◽  
Agricultural Land ◽  
Secondary Data ◽  
The Other ◽  
Primary Data ◽  
Agricultural Land Use ◽  
Crop Failure ◽  
Scale Method ◽  
Other Hand

Abstrak Petani dalam memanfaatkan lahan pertanian selalu berhadapan dengan ketidakpastian. Di sisi lain petani juga harus mempertimbangkan berbagai jenis komoditi yang akan diusahakan agar tidak gagal panen. Berdasarkan hal tersebut maka penelitian ini dilakukan dengan tujuan: (1) mengindentifikasi jenis ketidakpastian yang sering dihadapi petani  dalam  memanfaatkan lahan pertanian; dan  (2) menganalisis pengaruh ketidakpastian terhadap pertimbangan petani dalam menentukan jenis komoditi yang akan diusahakan. Data yang dikumpulkan terdiri dari data primer dan data sekunder. Data primer diperoleh dari hasil wawancara dengan petani, sedangkan data sekunder dari beberapa instansi terkait. Pengukuran ketidakpastian dilakukan menggunakan metode skala likerts. Analisis data di lakukan secara deskriptif kualitatif. Hasil penelitian menemukan adanya keragaman jenis  ketidakpastian yang selalu dihadapi petani dalam pemanfaatan lahan pertanian dan ketidakpastian tersebut  telah dijadikan dasar oleh petani untuk mempertimbangan jenis komoditi yang akan diusahakan.Abstract Farmers in utilizing agricultural land always faced with uncertainty. On the other hand, farmers should also consider various types of commodities which will be endeavored that no crop failure.  Based on the above, the research is conducted with the objectives: (1) to identify the kinds of uncertainties often faced by farmers in utilizing agricultural land for farming activities; (2) to analyzes the influence of uncertainty on the consideration of farmers in determining the type of commodity to be cultivated. The data collected consist of primary data and secondary data. Primary data was obtained from interview with farmer while secondary data from several related institutions. Measurement of uncertainty is done using likerts scale method. Data analysis is done descriptively qualitative. The results of the study found that the diversity of types of uncertainty often faced by farmers in agricultural land use and the uncertainty has been used as a basis by farmers to consider the types of commodities to be cultivated.

scholarly journals Impacts of Land Ownership on the Economic Performance and Viability of Rice Farming in Thailand

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 71
Author(s):  
Amorn Pochanasomboon ◽  
Witsanu Attavanich ◽  
Akaranant Kidsom
Keyword(s):  
Land Use ◽  
Economic Performance ◽  
Rice Yield ◽  
Land Ownership ◽  
The Other ◽  
Farm Households ◽  
Rice Farming ◽  
Policy Makers ◽  
Other Hand ◽  
Different Types

This article evaluates the impacts of land ownership on the economic performance and viability of rice farming in Thailand, and explores whether they are heterogeneous across different types of farming while using the propensity score matching (PSM) technique. This study categorizes land ownership into two types: full land ownership and weak land ownership. We reveal that full land ownership enhances the rice yield of small and midsize farms, with values of 115.789–127.414 kg/hectare and 51.926–70.707 kg/hectare, respectively. On the other hand, weak land ownership only enhances the rice yield of small farms, with an increased yield of 65.590–72.574 kg/hectare. Full land ownership also helps to reduce the informal debt of small and midsize farms by $16.972–$24.877 per farm and $31.393–$37.819 per farm, respectively. On the other hand, weak land ownership helps to reduce the informal debt of midsize farms, ranging from $36.909 to $44.681 per farm. Therefore, policy makers should encourage small and midsize farm households to adopt full land ownership instead of weak land ownership, as this will provide the greatest benefits to farm households and efficient land use.

Land Use, Urban Design, and Nonwork Travel: Reproducing Other Urban Areas’ Empirical Test Results in Portland, Oregon

2000 ◽  
Vol 1722 (1) ◽  
pp. 27-37 ◽  
Author(s):  
Marlon G. Boarnet ◽  
Michael J. Greenwald
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Urban Design ◽  
Urban Areas ◽  
Empirical Test ◽  
The Other ◽  
Test Results ◽  
Trip Generation ◽  
New Urbanist ◽  
New Variables

Research on nonwork automobile trip generation and land use previously conducted by researchers is replicated for the Portland, Oregon, region. Additionally, new variables examining new urbanist arguments are incorporated. The results suggest that any links between land use and nonwork trip behavior act primarily by influencing trip costs, in terms of distances traveled and speeds achieved, rather than directly influencing the number of trips made. This analysis is consistent with the other research, suggesting that this model is not sensitive to errors that might arise due to the unique characteristics of the urban area under review.

scholarly journals Quantum Mechatronics

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2483
Author(s):  
Lucas Lamata ◽  
Marco B. Quadrelli ◽  
Clarence W. de Silva ◽  
Prem Kumar ◽  
Gregory S. Kanter ◽  
...  
Keyword(s):  
Quantum Effects ◽  
Review Article ◽  
The Other ◽  
Highly Efficient ◽  
Other Hand ◽  
Educational Initiatives ◽  
Speed Up ◽  
Macroscopic Domain ◽  
Promising Avenue

Mechatronics systems, a macroscopic domain, aim at producing highly efficient engineering platforms, with applications in a variety of industries and situations. On the other hand, quantum technologies, a microscopic domain, are emerging as a promising avenue to speed up computations and perform more efficient sensing. Recently, these two fields have started to merge in a novel area: quantum mechatronics. In this review article, we describe some developments produced so far in this respect, including early steps into quantum robotics, macroscopic actuators via quantum effects, as well as educational initiatives in quantum mechatronics.

scholarly journals Minimum wages and the fate of Indonesian young workers

2020 ◽  
Vol 18 (2) ◽  
pp. 105-118
Author(s):  
Izzun Nafiah
Keyword(s):  
Interest Rates ◽  
Minimum Wage ◽  
Urban Areas ◽  
Labour Force ◽  
Minimum Wages ◽  
The Other ◽  
Logit Analysis ◽  
Young Workers ◽  
Wage Policy ◽  
Other Hand

Government policies that are directly related to the relationship between workers and companies are determining minimum wages. The effect of this minimum wage becomes more varied for developing countries with large populations such as Indonesia. Young workers have sensitive effect to fluctuation of the minimum wage policy, whereas the percentage of Indonesia young workers is more than 20 percent of the total workforce in 2015-2019. Therefore, the aim of this research is to analyze the effect of minimum wage policies on the status of young workers in Indonesia using quantitative data from the National Labour Force Survey (Sakernas) 2015-2019 with the multinomial logit analysis method. The results of this study are an increase in the minimum wage decreases the probability of young workers to have status as paid workers in the covered sector. In urban areas, an increase in the minimum wage increases the probability of young male workers being unemployed and decreases the probability being self-employed. On the other hand, an increase in the minimum wage causes female urban workers reducing the probability of being unemployed and increasing the probability of them being self-employed. Therefore, the minimum wage policy must be balanced with strengthen the education and training and also consider policies that increase youth labor market opportunities but do not increase employer costs for young workers. On the other hand, the government must be continuous to improve policies that support the progress of informal sector, for example in terms of providing capital, reducing loan interest rates, etc.

scholarly journals Socio -Territorial Transformations of the Northeast Region of Uruguay (2000-2018)

2020 ◽  
Vol 1 (31) ◽  
pp. 241-267
Author(s):  
Rodrigo Pereira ◽  
Marcel Borras ◽  
Gabril Scaraffuni ◽  
Janete Cancelier
Keyword(s):  
At Risk ◽  
Land Use ◽  
Satellite Images ◽  
Social Dynamics ◽  
Statistical Data ◽  
The Other ◽  
Territorial Expansion ◽  
Northeast Region ◽  
Other Hand ◽  
Agricultural Census

This article aims to understand how socio-territorial transformations have been manifesting in the northeast region of Uruguay between 2000 and 2018. In this period, the territorial expansion of agribusiness through soy monoculture and forestry intensifies, which causes important changes in the productive, social, and landscape base. The objective is, on one hand, to describe quantitatively and in terms of changes in land use, the recent transformations in the agrarian territories of the region and, on the other hand, to understand the impacts of these processes on some social dynamics, especially in the migration of family producers and their families from the agrarian space to the urban one. The methodology included a bibliographic and documentary review, the analysis of statistical data from the General Agricultural Census, and the analysis of land use through satellite images. The results show that monocultures linked to agribusiness have modified the agrarian structure and the use of the territory resulting in increasing pressure on the price of land, which puts the permanence of family producers at risk

scholarly journals A DECADAL ANALYSIS AND SENSITIVITY STUDY USING MOPITT CO COLUMNS OVER ASIA

2018 ◽  
Vol XLII-3/W5 ◽  
pp. 53-59 ◽  
Author(s):  
C. Lin ◽  
J. Cohen
Keyword(s):  
Standard Deviation ◽  
Biomass Burning ◽  
Urban Areas ◽  
Sensitivity Study ◽  
The Other ◽  
Peak Time ◽  
Urban Regions ◽  
Forest Clearing ◽  
Other Hand ◽  
A New Technique

<p><strong>Abstract.</strong> Biomass burning and urbanization are both significant sources of CO emissions and atmospheric loadings in the real environment. The sources of CO are due to incomplete combustion, on one hand of biomass from agriculture or forest clearing, and on the other hand from coal, oil, gas, and other similar materials. However, the spatial and temporal underlying properties and patterns are quite different between these two types of source regions, with urban regions having a relatively constant source of CO emissions, with only short term concentration fluctuations due to local meteorology. On the other hand, in biomass burning regions, the emissions themselves tend to be highly concentrated over a short burning period, and very low otherwise. We hence present a new technique to classify and quantify biomass burning regions and urban regions based on an objective analysis of the CO total column measurements from the MOPITT satellite. By using all of the data from 2000&amp;ndash;2016, in connection with averages and standard deviation cutoffs, we successfully determine these regions. By performing a sensitivity analysis, in connection with additional ground-based measurements, we determine that the ideal cutoffs for the mean column loading and standard deviation of the column loading 28<span class="thinspace"></span>&amp;times;<span class="thinspace"></span>1017<span class="thinspace"></span>mol/cm<sup>2</sup> and 6<span class="thinspace"></span>&amp;times;<span class="thinspace"></span>1017<span class="thinspace"></span>mol/cm<sup>2</sup> respectively. These results are capable of representing known urban regions and biomass burning regions well throughout China, Southeast Asia, and South Asia, specifically including Beijing, Hebei, Shandong, Jiangsu, Anhui, Hunan, Guangdong, and Bangkok on one hand, and Northeastern India, Myanmar, Laos, Northern Thailand, and Vietnam on the other hand. A detailed analysis of the time series over the different classified regions show that while the urban areas have a much higher annual value, and a relatively long peak time, that their maximum is never as high as the peaks in the biomass burning regions, and that these peaks in the biomass burning regions are extremely short in duration, although they occur annually or bi-annually. Finally, we have not been able to obtain a statistically relevant decreasing trend, as others have found, making CO possibly an interesting species for future studies.</p>

scholarly journals New Generalized Projection Speeds Up Audio Declipping

2019 ◽  
Author(s):  
Pavel Rajmic ◽  
Pavel Záviška ◽  
Vítězslav Veselý ◽  
Ondřej Mokrý
Keyword(s):  
Signal Processing ◽  
Explicit Formula ◽  
Convex Sets ◽  
The Other ◽  
Generalized Projection ◽  
Other Hand ◽  
Linear Transforms ◽  
Speed Up ◽  
Linear Transform

In theory and applications, it is often inevitable to work with projectors onto convex sets, where a linear transform is involved. In this article, a novel projector is presented, which generalizes previous results in that it admits a broader family of linear transforms, but on the other hand it is limited to box-type convex sets in the transformed domain. The new projector has an explicit formula and it can be interpreted within the framework of proximal optimization. The benefit of the new projector is demonstrated on an example from signal processing, where it was possible to speed up the convergence of a signal declipping algorithm by a factor of more than two.

Are lifestyle shifts fuelling the obesity epidemic in urbanised Africans?

2016 ◽  
Vol 23 (4) ◽  
pp. 73-75 ◽  
Author(s):  
Robert M. Ojiambo
Keyword(s):  
Air Pollution ◽  
Metabolic Pathways ◽  
Urban Areas ◽  
Energy Supply ◽  
Fat Deposition ◽  
The Other ◽  
Prevalence Rates ◽  
Obesity Epidemic ◽  
Other Hand ◽  
Active Lifestyles

Humans evolved for active lifestyles involving hunting–gathering and agriculture. To sustain these energy-intensive lifestyles, diets consisting of energy-dense foods were selected. It can therefore be argued that humans are physiologically adapted for active lifestyles. However, with rapid industrialisation, there has been an upsurge in the usage of labour-saving devices as well as a glut in the supply of energy-dense foods. This mismatch between energy supply and expenditure in modern man may be fuelling the contemporary trends in obesity in urbanised man. On the other hand, recent emerging evidence indicates that air pollution related to motorised transportation in urban areas may be obesogenic by causing alterations in the lipid metabolic pathways, resulting in fat deposition. These lifestyle shifts are drastically different from traditional rural African lifestyles and mirror the different prevalence rates of obesity and related co-morbidities between rural versus urban areas.

scholarly journals LAND USE CLASSIFICATION USING DEEP MULTITASK NETWORKS

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 17-21
Author(s):  
J. R. Bergado ◽  
C. Persello ◽  
A. Stein
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Areas ◽  
Large Scale ◽  
Urban Land ◽  
Urban Land Use ◽  
The Other ◽  
Classification Task ◽  
Land Use Classification ◽  
Convolutional Network

Abstract. Updated information on urban land use allows city planners and decision makers to conduct large scale monitoring of urban areas for sustainable urban growth. Remote sensing data and classification methods offer an efficient and reliable way to update such land use maps. Features extracted from land cover maps are helpful on performing a land use classification task. Such prior information can be embedded in the design of a deep learning based land use classifier by applying a multitask learning setup—simultaneously solving a land use and a land cover classification task. In this study, we explore a fully convolutional multitask network to classify urban land use from very high resolution (VHR) imagery. We experimented with three different setups of the fully convolutional network and compared it against a baseline random forest classifier. The first setup is a standard network only predicting the land use class of each pixel in the image. The second setup is a multitask network that concatenates the land use and land cover class labels in the same output layer of the network while the other setup accept as an input the land cover predictions, predicted by a subpart of the network, concatenated to the original input image patches. The two deep multitask networks outperforms the other two classifiers by at least 30% in average F1-score.

Sign in / Sign up

Export Citation Format

Share Document