Point Cloud Semantic Segmentation with Cross-Correction Features

Real time large scale point cloud segmentation is an important but challenging task for practical application like autonomous driving. Existing real time methods have achieved acceptance performance by aggregating local information. However, most of them only exploit local spatial information or local semantic information dependently, few considering the complementarity of both. In this paper, we propose a model named Spatial-Semantic Incorporation Network (SSI-Net) for real time large scale point cloud segmentation. A Spatial-Semantic Cross-correction (SSC) module is introduced in SSI-Net as a basic unit. High quality contextual features can be learned through SSC by correct and update semantic features using spatial cues, and vice verse. Adopting the plug-and-play SSC module, we design SSI-Net as an encoder-decoder architecture. To ensure efficiency, it also adopts a random sample based hierarchical network structure. Extensive experiments on several prevalent datasets demonstrate that our method can achieve state-of-the-art performance.

Operation Status Monitoring of Transmission Tower in Power System based on Data Fusion

This paper studies the application of data fusion technology in power system to solve some difficult problems in this complex energy system. A transmission tower identification and bird nest detection method based on corner, line, color and shape features is proposed. Through LSD (Line Segment Detection) and Harris corner detection method, the straight line segment and corner point in the image are extracted respectively. Combined with triangle method, the actual tilt angle of tower is measured; According to the nesting rule of birds in transmission towers, the basic unit segmentation algorithm of transmission towers is proposed, and the basic unit segmentation of transmission towers is realized by using the local maximum of the target pixel row statistical histogram. The algorithm proposed in this paper can effectively solve the problems of on-line measurement of tilt angle of transmission tower and on-line detection of bird's nest, which will lay a theoretical foundation for on-line monitoring of transmission tower status.

Safety Net Model: Grid-Based HSE Risk Management Integration with Twin Orientations

Although companies systematically introduce management systems to improve performance and reduce major accident risks, gaps remain. The mismatch between HSE management system and practical HSE works, line and HSE departments and HSE requirements and actions exerts significant negative impact on the effectiveness and efficiency of HSE management. Under these circumstances, operational management system (OMS), barrier management system (BMS), process safety management and asset integrity management are all studied and applied in an oilfield. The oilfield experienced nine years of development, and the production capacity increased from 4,000 to 400,000 barrels per day. Almost 7,000 people were working in the oilfield during peak time from around 40 countries. During such a development, HSE management was extremely challengeable, and a practical and integrated HSE risk management model was pursued and established. This paper describes a method of HSE risk management integration called safety net model. The model physically segregates oilfield facilities into individually managed areas or grids. A safety grid is the basic unit of a safety net, and the safety net comprises a series of correlative and interactive safety grids from bottom to up. OMS, HEMP and BMS are the bases of safety net model. Each safety grid complies with the principle of twin orientations: the identification of HSE hazards and assessment of HSE risks and the formulation and substantiation of systematic risk control measures. Specifically, the safety grid has two sets of basic components: hazard, output and time (HOT) and authority, boundary and control (ABC). HOT refers to hazard orientation, and ABC refers to risk control orientation. Two sets of components define attributes of each safety grid. The risk profile is assessed for each grid, in which technical safety and consequence studies are introduced to visually represent at risk locations. Overlaying contours and process boundaries as typical examples result in a simplified model that enables area owners to recognise risks, controls and mitigations so that they can introduce suitable risk reduction measures for safe operations. Through components (HOT ABC) of each safety grid, OMS and BMS are introduced to operational sites and positions directly and easily. Six components are connection points of every safety grid, and all safety grids are knitted to an integrated safety net. The implementation of safety net model contributes to good HSE performance of the oilfield studied, and the resulting performance is recognised and appreciated by local government and funding parties. This paper focuses on how to communicate the information in compliance with the principle of twin orientations from safety studies recorded in OMS and BMS to the safety grid. Comprising safety grids, safety net model is an applicable and practical carrier of integrated HSE risk management.

Connector-link-part-based disassembly sequence planning

Under the trend of concurrent engineering, the correspondence between functions and physical structures in product design is gaining importance. Between the functions and parts, connectors are the basic unit for engineers to consider. Moreover, the relationship between connector-liaison-part will help accomplish the integration of information. Such efforts will help the development of the Knowledge Intensive CAD (KICAD) system. Therefore, we proposed a Connector-liaison-part-based disassembly sequence planning (DSP) in this study. First, the authors construct a release diagram through an interference relationship to express the priority of disassembly between parts. The release diagram will allow designers to review the rationality of product disassembly planning. Then, the cost calculation method and disassembly time matrix are established. Last, the greedy algorithm is used to find an appropriate disassembly sequence and seek suggestions for design improvement. Through the reference information, the function and corresponding modules are improved, from which the disassembly value of a product can be reviewed from a functional perspective. In this study, a fixed support holder is used as an example to validate the proposed method. The discussion of the connector-liaison-part will help the integration of the DSP and the functional connector approach.

The Family as the Basic Unit of Society

The family is a sacred fortress and contributes to the development of the two young states by preserving it. After all, our esteemed head of state Sh.M.Mirziyoev did not say in vain that the family is the basis of society. As young people realize the important responsibilities they take on as they step into this divine home, peace and prosperity will be ensured in the family and the number of divorces that are broken for early vain reasons will be reduced. The reason for this is that the peace and harmony in the family, mutual respect, that is, a healthy psychological environment depends on the relationship between the couple. This issue is also given special attention in Uzbekistan and its importance is emphasized. The following is a closer look at the foundation of the family, its importance, and what needs to be done to preserve and strengthen this sanctuary.

Pandemic Shock Absorbers: Domestic Workers’ Activism at the Intersection of Immigrants’ and Workers’ Rights

During the current global pandemic, when the family or household has been considered the most basic unit of quarantine, the role of the domestic worker – someone who by definition crosses the threshold and enters the space of the home – became problematised quickly. These workers’ ‘outsider’ status – transgressing the boundaries not just of the physical household space, but often also of race, immigration status, and class – has meant that some household workers were more readily regarded as disease vectors who were too risky to allow into the home and let go with little or no warning. In the United States, many of the federal and state relief bills responding to the pandemic continue to exclude the sector or undocumented immigrant workers or both from accessing relief measures. Drawing on an online ethnography of organisations and policy reviews, we analyse the multilevel response of domestic workers’ organisations to address the crisis at both the federal and local levels, with focus on the state of Massachusetts. This chapter tackles the variety of ways in which worker centres in the United States have been at the frontline of the response to domestic workers’ needs, addressing a gap in mainstream and otherwise insufficient relief measures provided by the government. Because of these gaps and the sheer level of need faced by these workers and their families, these centres did what they were prepared to do: continue the service provision, education, organising, and advocacy efforts while expanding their efforts in each of these areas of work.

Revenue House - architectural typology to be valorised

This research was carried out on the state of degradation of the historic core of Annaba city, Algeria. This degradation is caused by multiple factors, the most important of which is the absence of shared responsibility of public actors. The number of collapses multiplied which became a source for the creation of large office buildings with modernist tendencies, but without any architectural identity. The real estate park in downtown Annaba brings together urban entities according to various principles and logics of composition, structuring the urban image of the city of Annaba. The objective of this study is to build a complete catalogue summarizing the structures and fundamental characteristics of old buildings. Initially, this study defines all the notions linked to urban morphology and the typologies of housing. Secondly, an architectural study will be carried out on the “income house”, which represents the basic unit for the development of this historic nucleus. The typological analysis was applied to 44 buildings from the 19th and early 20th centuries located on the boulevard named “Revolution Square” in order to identify a set of common and specific criteria for the classification of “house income”.

Optimum size and shape of plots based on data from a uniformity trial on Indian Mustard in Haryana

The most obvious use of uniformity trial data is to provide information on the most suitable size and shape of plots, in which the field was planted to a single variety and harvested as small plots. Indian mustard (Brassica juncea L.) cultivar RH-749 was grown using uniform crop improvement practices during rabi season of 2013-14 at Research Farm of Oilseed section, Department of Genetics and Plant Breeding, CCSHAU, Hisar, Haryana state, India, to estimate optimum plot size and shape using yield data of the 48 m × 48 m (2304 basic units) recorded separately from each basic unit of 1 m × 1 m. The variability among plots of different sizes and shapes was determined by calculating coefficient of variation. It was observed that the coefficient of variation decreases as the plot size increases in case of both the directions i.e., when plots were elongated in N-S direction (88 per cent decrease) or elongated in E-W direction (93 per cent decrease). Further it was observed that long and narrow plots elongated in E-W direction were more useful than the compact and square plots in controlling the soil heterogeneity. Based on the maximum curvature method the optimum plot size for yield trial was estimated to be 5 m2 with rectangular shape.

Parameter Identification of Optimized Fractional Maximum Power Point Tracking for Thermoelectric Generation Systems Using Manta Ray Foraging Optimization

Thermoelectric generation systems (TEGSs) are used to convert temperature difference and heat flow into DC power based on the Seebeck theorem. The basic unit of TEGS is the thermoelectric module (TEM). TEGSs have gained increasing interest in the research fields of sustainable energy. The output power from TEM is mostly reliant on differential temperature between the hot and cold sides of the TEM added to the value of the load. As such, a robust MPPT strategy (MPPTS) is required to ensure that the TEGS is operating near to the MPP while varying the operating conditions. Two main drawbacks may occur in the conventional MPPTSs: low dynamic response, such as in the incremental resistance (INR) method, and oscillations around MPP at steady state, such as in the hill climbing (HC) method. In the current research work, an optimized fractional MPPTS is developed to improve the tracking performance of the TEGS, and remove the two drawbacks of the conventional MPPTSs. The proposed strategy is based on fractional order control (FOC). The main advantage of FOC is that it offers extra flexible time and frequency responses of the control system consent for better and robust performance. The optimal parameters of the optimized fractional MPPTS are identified by a manta ray foraging optimization (MRFO). To verify the robustness of the MRFO, the obtained results are compared with ten other algorithms: particle swarm optimization; whale optimization algorithm; Harris hawks optimization; heap-based optimizer; gradient-based optimizer; grey wolf optimizer; slime mould algorithm; genetic algorithm; seagull optimization algorithm (SOA); and tunicate swarm algorithm. The maximum average cost function of 4.92934 kWh has been achieved by MRFO, followed by SOA (4.5721 kWh). The lowest STD of 0.04867 was also accomplished by MRFO. The maximum efficiency of 99.46% has been obtained by MRFO, whereas the lowest efficiency of 74.01% was obtained by GA. Finally, the main findings proved the superiority of optimized fractional MPPTS compared with conventional methods for both steady-state and dynamic responses.