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1 – 10 of over 5000Nirzalin, Ibrahim Chalid and Yogi Febriandi
Purpose – The purpose of this paper is to describe the practice of inequality in access to fish resources that occurred in Kuala Langsa. In sociology, ownership of the means of…
Abstract
Purpose – The purpose of this paper is to describe the practice of inequality in access to fish resources that occurred in Kuala Langsa. In sociology, ownership of the means of production have strong linkages with economic productivity. The problems that arise in Kuala Langsa is the existence of gaps in the ownership of the means of production, thus giving birth to the practice of inequality in the production arena of fishermen. On the other hand, the efforts of government intervention through the help of the means of production lead to internal conflict among the community of fishermen in Kuala Langsa.
Methodology Approach – This article uses the sociology paradigm in looking at economic development efforts through the help of production equipment for fishermen in Kuala Langsa. Data was collected through interviews with qualified local fishermen communities and city governments. The observations were made to see in practice the use of production equipment such as ships, where fish auctions were held, and fuel aboard.
Finding – This article concludes that the practice of fishery production is divided into two types: first, fisherman workers who depend on the production of production tools owned by investors; second, traditional fishermen who depend on production from government aid equipment.
Research Implications – The authors argue that these two production practices have led to the practice of inequality in access to fishermen production in Kuala Langsa. In the first case, the means of production is controlled by the investors so that the fishermen of the workers experience marginalization of access to fish resources. In the second case, government aid production programs also resulted in the internal conflicts of traditional fishing groups in terms of control of production equipment.
Originality/Value – This article contributes to the concept of economic development of the fishing communities in Aceh.
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Haosen Liu, Youwei Wang, Xiabing Zhou, Zhengzheng Lou and Yangdong Ye
The railway signal equipment failure diagnosis is a vital element to keep the railway system operating safely. One of the most difficulties in signal equipment failure diagnosis…
Abstract
Purpose
The railway signal equipment failure diagnosis is a vital element to keep the railway system operating safely. One of the most difficulties in signal equipment failure diagnosis is the uncertainty of causality between the consequence and cause for the accident. The traditional method to solve this problem is based on Bayesian Network, which needs a rigid and independent assumption basis and prior probability knowledge but ignoring the semantic relationship in causality analysis. This paper aims to perform the uncertainty of causality in signal equipment failure diagnosis through a new way that emphasis on mining semantic relationships.
Design/methodology/approach
This study proposes a deterministic failure diagnosis (DFD) model based on the question answering system to implement railway signal equipment failure diagnosis. It includes the failure diagnosis module and deterministic diagnosis module. In the failure diagnosis module, this paper exploits the question answering system to recognise the cause of failure consequences. The question answering is composed of multi-layer neural networks, which extracts the position and part of speech features of text data from lower layers and acquires contextual features and interactive features of text data by Bi-LSTM and Match-LSTM, respectively, from high layers, subsequently generates the candidate failure cause set by proposed the enhanced boundary unit. In the second module, this study ranks the candidate failure cause set in the semantic matching mechanism (SMM), choosing the top 1st semantic matching degree as the deterministic failure causative factor.
Findings
Experiments on real data set railway maintenance signal equipment show that the proposed DFD model can implement the deterministic diagnosis of railway signal equipment failure. Comparing massive existing methods, the model achieves the state of art in the natural understanding semantic of railway signal equipment diagnosis domain.
Originality/value
It is the first time to use a question answering system executing signal equipment failure diagnoses, which makes failure diagnosis more intelligent than before. The EMU enables the DFD model to understand the natural semantic in long sequence contexture. Then, the SMM makes the DFD model acquire the certainty failure cause in the failure diagnosis of railway signal equipment.
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