External Network Research Articles

Industrial Sustainable Development: The Development Trend of Programmable Logic Controller Technology

Programmable Logic Controllers (PLCs) are indispensable for current and future industrial development, especially in smart factories, smart home technology, automated production lines, and machinery manufacturing. This study presents the trends in PLC software and hardware development through a technology roadmap and offers relevant suggestions to help industries achieve sustainable development, enhance market competitiveness, and provide references for research. Through expert interviews and fuzzy Delphi analysis, this study points out that future PLC development needs to focus on editing interfaces, syntax, Central Processing Units, Memory Units, and Communication Modules. Specific recommendations include visualizing regional/global label settings and connection settings, adding Python, JAVA, LabVIEW, and Scratch syntax, improving instruction execution speed, expanding program and expansion capacities, and adopting dual-channel Ethernet and connections to external networks and wireless networks. Fuzzy hierarchical analysis shows that Communication Modules are the most important component, followed by Central Processing Units and syntax expansion, and, finally, program and expansion capacity enhancements. These suggestions aim to promote product innovation and social environment demand evaluation, enhance product competitiveness, and achieve sustainable development goals.

Optimal Operation of an Industrial Microgrid within a Renewable Energy Community: A Case Study of a Greentech Company

The integration of renewable energy sources in the European power system is one of the main goals set by the European Union. In order to ease this integration, in recent years, Renewable Energy Communities (RECs) have been introduced that aim to increase the exploitation of renewable energy at the local level. This paper presents an Energy Management System (EMS) for an industrial microgrid owned and operated by a greentech company located in the north of Italy. The company is a member of an REC. The microgrid is made of interconnected busbars, integrating photovoltaic power plants, a fleet of electric vehicles, including company cars and delivery trucks supporting Vehicle-to-Grid (V2G), dedicated charging stations, and a centralized battery energy storage system. The industrial site includes two warehouses, an office building, and a connection to the external medium-voltage network. The EMS is designed to optimize the operation of the microgrid and minimize the operating costs related to the sale and purchase of energy from the external network. Furthermore, as the company is a member of an REC, the EMS must try to follow a desired power exchange profile with the grid, suggested by the REC manager, with the purpose of maximizing the energy that is shared within the community and incentivized. The results demonstrate that, when minimizing only costs, local self-consumption is favored, leading to a Self-Sufficiency Rate (SSR) of 65.37%. On the other hand, when only the adherence to the REC manager’s desired power exchange profile is considered in the objective function, the SSR decreases to 56.43%, net operating costs increase, and the energy shared within the REC is maximized.

Social network effect on land transfer willingness of the rural elders: Evidence from China

The elders in China’s rural areas are facing challenges in maintaining agricultural production due to the outflow of rural laborers. The Transfer of land could alleviate the burden of land-based livelihoods for rural elders, but their decisions regarding land transfer are influenced by their social networks within the context of Chinese rural society. This study investigates how social networks impact the willingness of rural elders to transfer land. Using survey data from 782 rural elders in 32 villages across 11 provinces in China, this paper applies multilinear and binary logistic regression models. The results indicate that the willingness of rural elders to transfer land is affected by their social neteork: (1) Internal network scale, network heterogeneity, and frequency of external network relationships have a significantly positive influence on rural elders’ willingness to transfer land, while frequency of internal network relationships has a significantly negative influence. (2) There are group differences in the above impacts, and these significant impacts occur only among male elderly individuals aged 60–69 years old or living in central and western regions. (3) Social networks primarily influence rural elders’ willingness to transfer land through three mechanisms: information consultation, interpersonal trust, and material resource acquisition. A larger internal social network scale, higher heterogeneity within the network, and more frequent interactions with members of external networks lead to greater access to useful information, higher levels of trust in others, increased material resources availability, and an increased likelihood of transferring land. These findings can inform government policies aimed at improving practices related to land transfers and old age security for rural elders.

Design of an electrically small printed square loop antenna for closely spaced Tx/Rx systems

AbstractA highly miniaturised electrically small square loop antenna has been designed for operation at 2.5 GHz. The antenna is loaded using a simple series combination of two lumped inductors and two interdigitated capacitors in order to realise inherent impedance matching at a given miniaturisation level with respect to a specified source impedance, without using any external matching network. The designed antenna has an overall size of 0.061λ0 × 0.061λ0, which is approximately 75.6% miniaturised in terms of total loop length and 94% miniaturised in terms of overall footprint. The designed antenna is fabricated and the corresponding impedance matching and radiation patterns are measured, which are found to be in reasonable agreement with their simulated counterparts. Moreover, an investigation with two closely spaced electrically small SLAs, one for transmitting and the other for receiving, is carried out in this work in pursuit of maximising the isolation, which plays a crucial role in the Tx/Rx systems.

Determinants of internal and external networking behaviours: insights into gender, education, political skills and mentoring

ABSTRACT Employee internal and external networking behaviours may drive different employee and organisational outcomes, which has implications for Human Resource Development professionals. However, little is known about how to develop internal and external networking behaviours. Using social role theory, social capital theory, and personal initiative theory, this study examines the impact of employee gender, education, political skills, and mentoring on internal and external networking behaviours. We utilised a mixed-method sequential research design comprising two studies. Study 1 survey data were collected from 372 middle managers from 10 Sri Lankan manufacturing and service organisations. The results indicate the higher external networking behaviours of men; the elevated internal and external networking behaviours of managers with a master’s degree; a positive relationship between political skills and both internal and external networking behaviours; and a positive relationship between mentoring and internal networking behaviours. Study 2 comprised 12 interviews of middle managers who had participated in Study 1. Thematic and content analyses explain, refine, and extend the results of Study 1. The findings have several implications for developing the networking behaviours of middle managers. Theoretical and research contributions are discussed.

Features of the Method for Synchronizing Active Electrical Networks with Microgrid

Currently, with the increasing degree of decentralization of power system management, small distributed generation is becoming the main source of power for consumers in local power connections. Such networks acquire Microgrid properties and adapt to work both independently and in parallel with an external network. Operating independently, Microgrid networks are able to transfer excess electricity to an external network under certain conditions. Due to the low inertia of power units and the stochasticity of their own loads, connecting Microgrid to an external network can lead to sharp power surges and drops, causing a shock moment on the shaft of generating equipment. The purpose of this paper is to develop and study an algorithm for managing Microgrid synchronization with an external network. A synchronization control algorithm is investigated and proposed, which makes it possible to connect generating units for parallel operation with an external network with minimal impact moment on the shaft. A comparison of the simulation results of the proposed method with the standard one is given. Based on the research data, statistical data were collected and analyzed.

Generation and Characterization of hiPSC-Derived Vascularized-, Perfusable Cardiac Microtissues-on-Chip.

In the heart in vivo, vasculature forms a semi-permeable endothelial barrier for selective nutrient and (immune) cell delivery to the myocardium and removal of waste products. Crosstalk between the vasculature and the heart cells regulates homeostasis in health and disease. To model heart development and disease in vitro it is important that essential features of this crosstalk are captured. Cardiac organoid and microtissue models often integrate endothelial cells (ECs) to form microvascular networks inside the 3D structure. However, in static culture without perfusion, these networks may fail to show essential functionality. Here, we describe a protocol to generate an in vitro model of human induced pluripotent stem cell (hiPSC)-derived vascularized cardiac microtissues on a microfluidic organ-on-chip platform (VMToC) in which the blood vessels are perfusable. First, prevascularized cardiac microtissues (MT) are formed by combining hiPSC-derived cardiomyocytes, ECs, and cardiac fibroblasts in a pre-defined ratio. Next, these prevascularized MTs are integrated in the chips in a fibrin hydrogel containing additional vascular cells, which self-organize into tubular structures. The MTs become vascularized through anastomosis between the pre-existing microvasculature in the MT and the external vascular network. The VMToCs are then ready for downstream structural and functional assays and basic characterization. Using this protocol, cardiac MTs can be efficiently and robustly vascularized and perfused within 7 days. In vitro vascularized organoid and MT models have the potential to transition current 3D cardiac models to more physiologically relevant organ models that allow the role of the endothelial barrier in drug and inflammatory response to be investigated. © 2024 The Author(s). Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Generation of VMToC Support Protocol 1: Functional Characterization of VMToC Support Protocol 2: Structural Characterization of VMToC.

Representation of Mental Health Issues in the Movie Not Okay

In this study, researchers will discuss the issue of scenes that represent how mental health issues are presented in the film Not Okay. The method in this research is a descriptive study using a qualitative approach. The population of this research is all the characters from the film Not Okay. Danni Sanders, the main character in the film Not Okay, is the subject or sample of the research. Data is collected through cutscene analysis which represents mental health issues through conversations and scenes which will be divided into several categories. Apart from verbal communication, researchers will also analyze non-verbal cues such as facial expressions because they can also be used to convey implied messages. The result of this research is the film "Not Okay" (2022), which succeeded in providing an in-depth and realistic depiction of the complexity of mental health issues. The main characters can encourage viewers to consider the need to recognize and understand mental health issues, as well as how external circumstances and support networks play an important role in the recovery process. As a result, the film is not only entertaining but also makes a significant contribution to increasing awareness and understanding of people facing mental health problems.

FORMULATION OF THE OPTIMIZATION PROBLEM FOR UNDERGROUND ENGINEERING NETWORK ROUTES

The article considers the implementation of methods for optimizing underground external engineering networks in order to reduce construction costs. For this purpose, the problem of optimizing the route of such networks is set in the form of a nonlinear programming problem. The route is modeled by a spatial polyline with rectilinear segments, and the coordinates of its vertices are considered design variables. The ground surface in the designated area is modeled as a continuous function of two coordinates in the plan using BIM technologies, which ensures the automated use of topographic information when calculating the volume of earthworks and checking compliance with constraints specified by standards requirements. The main result of the study is the formulation of the problem of optimizing the route of the engineering network taking into account the terrain.

Influence of social capital, market orientation, and technological readiness on researchers’ interactions with companies

This study investigates the influence of social capital, market orientation, and technological readiness levels (TRLs) on the intensity of collaboration between researchers from a public research institution in Brazil and companies, and how TRLs moderate this relationship. Using a quantitative approach, we applied structural equation modeling (PLS-SEM) to analyze responses from researchers at this institution. The analysis highlights the critical roles of social capital and market orientation in fostering effective R&D interactions. Social capital enhances collaboration through trust and network strength, while market orientation aligns R&D efforts with market needs, ensuring that innovations are both relevant and timely. Importantly, this study explores how technological readiness levels (TRLs) moderate these relationships, offering insights into the varying impact of social capital and market orientation across different stages of technological development. Findings reveal that participation in projects with TRLs 4 to 6, known as the Valley of Death, significantly moderates the impact of market orientation on researchers' interaction intensity with companies, underscoring the importance of considering technological maturity in R&D collaborations. The study is framed within the open innovation approach, emphasizing the importance of leveraging external knowledge and collaborative networks to enhance innovation outcomes. Theoretically, this research extends the existing models of R&D collaboration by illustrating how TRLs modify the effects of social capital and market orientation. Practically, it offers actionable insights for R&D managers and policymakers on structuring environments that foster robust academic–industry partnerships, facilitating the successful transition of innovations from conceptualization to market readiness.

CONSTANS alters the circadian clock in Arabidopsis thaliana

Plants are sessile organisms that have acquired highly plastic developmental strategies to adapt to the environment. Among these processes, the floral transition is essential to ensure reproductive success and is finely regulated by several internal and external genetic networks. The photoperiodic pathway, which controls plant response to day length, is one of the most important pathways controlling flowering. In Arabidopsis photoperiodic flowering, CONSTANS (CO) is the central gene activating the expression of the florigen FLOWERING LOCUS T (FT) in the leaves at the end of a long day. The circadian clock strongly regulates CO expression. However, to date, no evidence has been reported regarding a feedback loop from the photoperiod pathway back to the circadian clock. Using transcriptional networks, we have identified relevant network motifs regulating the interplay between the circadian clock and the photoperiod pathway. Gene expression, chromatin immunoprecipitation experiments, and phenotypic analysis allowed us to elucidate the role of CO over the circadian clock. Plants with altered CO expression showed a different internal clock period, measured by daily leaf rhythmic movements. We showed that CO upregulates the expression of key genes related to the circadian clock, such as CCA1, LHY, PRR5, and GI, at the end of a long day by binding to specific sites on their promoters. Moreover, a high number of PRR5-repressed target genes are upregulated by CO, and this could explain the phase transition promoted by CO. The CO-PRR5 complex interacts with the bZIP transcription factor HY5 and helps to localize the complex in the promoters of clock genes. Taken together, our results indicate that there may be a feedback loop in which CO communicates back to the circadian clock, providing seasonal information to the circadian system.

An energy efficient authentication scheme for cluster-based wireless IoT sensor networks

Wireless Internet of Things (IoT) sensor networks (WITSN) play a pivotal role in modern society, facilitating a myriad of applications ranging from smart homes to industrial automation. Therefore, safeguarding these networks against security threats is paramount to ensure the integrity, confidentiality, and availability of data transmitted within them. However, WITSNs face escalating security threats due to their diverse structures and platforms. Existing literature has identified these vulnerabilities but lacks comprehensive solutions to address them effectively. To bridge this gap, this paper proposes a novel security approach termed Randomized Bi-Phase Authentication Scheme (RBAS), which integrates digital watermarking techniques to fortify both external and internal network security. RBAS not only tackles data availability, confidentiality, and authenticity challenges prevalent in WITSNs but also strives to maintain a delicate equilibrium between robust security measures and energy efficiency. Key contributions of this work include the meticulous examination and validation of the integration of cyclic redundancy check (CRC) codes in IoT sensor network authentication, demonstrating their efficacy in error detection through simulations. Furthermore, RBAS employs advanced hashing, cryptography, and dynamic verification codes to ensure strong error detection and data authenticity, leveraging robust CRC codes and randomization to thwart potential attacks. The scheme's complexity acts as a deterrent against manipulation, while its cluster awareness enhances adaptability, and cryptographic principles bolster overall security. Extensive performance evaluation using the Network Simulator-2 (NS2) reveals significant benefits of RBAS, including an 8 % reduction in power consumption and a 7 % increase in network longevity. Notably, RBAS surpasses existing solutions with a 14 % reduction in dropping ratio and an 8 % decrease in latency. The success of RBAS stems from its innovative utilization of lightweight watermarking techniques and cluster-based routing, enabling proactive identification of data tampering and thereby enhancing the network's overall security posture. This pioneering work not only advances the state of the art in WITSN security but also holds profound implications for the practical deployment of secure and efficient IoT sensor networks in real-world scenarios.

Mn-O bond Engineering Mitigating Jahn-Teller Effects of Manganese Oxide for Aqueous Zinc-ion Battery Applications

Manganese-based oxides (MNO) are commonly employed as cathodes in aqueous zinc-ion batteries (AZIBs) due to their affordability, minimal toxicity, and various valence states. However, the Jahn–Teller (J-T) effect of high-spin Mn3+ can induce Mn2+ dissolution and irreversible phase changes, significantly deteriorating the cycling life. Herein, 1D core–shell Mn3O4 with doping of heteroatoms is successfully designed through a dopamine coating and subsequent annealing strategy. Specifically, N-doping elongated the Mn-O bonds within the Mn3O4 crystal, suppressing lattice J-T distortion caused by MnO6 octahedra. This result in weakened electrostatic repulsion, contributing not only to structural stability but also facilitating the insertion of more cations. Simultaneously, N-doping carbon encapsulates Mn3O4 with an external conductive network, providing a unique mesoporous morphology and improved conductive pathways. Therefore, the optimized NC@Mn3O4 displays high capacity (420 mAh/g at 1 A/g) and superior cycle stability (90.34 % of capacity retention over 1000 cycles at 3 A/g). In addition, the charge storage of NC@Mn3O4 is the highly reversible H+/Zn2+ co-intercalation/extraction reactions, which revealed by ex-situ characterizations. This work initially proposed an effective design trend to eliminate the J-T effect, and provided assistance for the application of MNO cathode materials.

Unified multimodal fusion transformer for few shot object detection for remote sensing images

Object detection is a fundamental computer vision task with wide applications in remote sensing, but traditional methods strongly rely on large annotated datasets which are difficult to obtain, especially for novel object classes. Few-shot object detection (FSOD) aims to address this by using detectors to learn from very limited labeled data. Recent work fuse multi-modalities like image–text pairs to tackle data scarcity but require external region proposal network (RPN) to align cross-modal pairs which leads to a bias towards base classes and insufficient cross-modal contextual learning. To address these problems, we propose a unified multi-modal fusion transformer (UMFT), which extracts visual features from ViT and textual encodings from BERT to align multi-modal representations in an end-to-end manner. Specifically, affinity-guided fusion (AFM) captures semantically related image–text pairs by modeling their affinity relationships to selectively combine most informative pairs. In addition, cross-modal correlation module (CCM) captures discriminative inter-modal patterns between image and text representations and filters out unrelated features to enhance cross-modal alignment. By leveraging AFM to focus on semantic relationships and CCM to refine inter-modal features, the model better aligns multimodal data without RPN. These representations are passed to detection decoder that predicts bounding boxes, probabilities of class and cross-modal attributes. Evaluation of UMFT on benchmark datasets NWPU VHR-10 and DIOR demonstrated its ability to leverage limited image–text training data via dynamic fusion, achieving new state-of-the-art mean average precision (mAP) for few-shot object detection. Our code will be publicly available at https://github.com/abdullah-azeem/umft.

CURRENT STATE AND DEVELOPMENT PROSPECTS FOR THE RENEWAL OF SEWERAGE NETWORKS IN KHARKIV CITY

Ensuring the reliable operation of sewerage systems is one of the essential tasks of municipal services in Ukrainian cities. As the research shows, in most cases, their construction involved concrete and reinforced concrete, which are prone to destruction under the influence of many factors, particularly microbiological corrosion. The destruction of sewage collectors is often the reason for wastewater leaking into groundwater and soil, resulting in pollution. The article provides statistical data on the ‘Kharkivvodovidvedennia’ Complex of the ME ‘Kharkivvodokanal’ as of 01.01.2024, which operates the city’s external water drainage networks. The article outlines the most common factors that lead to emergencies in sewage networks, such as aging and wear of infrastructure, insufficient maintenance and repair, mechanical damage, pollution and clogging, increased volume of wastewater, planning problems, chemical reactions, biological corrosion, and connection defects. The relationship between these causes may be that corrosion can weaken pipeline materials, making them more vulnerable to mechanical damage and leakage. According to preliminary calculations, it is necessary to relay or rehabilitate (trenchless pipeline laying) at least 22–25 km of city networks annually to ensure the reliability of sewage networks. The article analyses the work cycles performed on the tunnel collectors’ objects and large-diameter collectors over five years. Major repair and reconstruction work that deserves attention includes work on the repair of mine No. 12 of the tunnel collector of the 761 micro-district (mine depth H = 6.75 m, diameter – 5 m); restoration work of the Oleksiivskyi collector Ø 2000 mm near the viewing chamber No. 33 on the street Lopanska; restoration of the collector of the Northern group of factories Ø 900 mm at Danylivskyi Uzviz. As a result, we carried out an analysis of the current state of the sewage network of the city of Kharkiv. The main factor in the wear and tear of sewerage networks is corrosion, which, in turn, can weaken pipeline materials, making them more vulnerable to mechanical damage and leaks. Despite the difficult economic conditions, work on the repair and operation of networks is carried out. Also worthy of special attention for future research is the survey of mines where restoration work took place over the past ten years using modern methods. Keywords: underground construction, sewerage, renewal, repair, reconstruction, bearing capacity, wear, corrosion.

Cluster heterogeneity and efficiency of innovation network—Evidence from Shanghai and Taizhou in China

AbstractThere are debates about cluster heterogeneity, network structures, and innovations. The difference in the degree to which firms joined in the internal and external networks of heterogeneous clusters can affect innovation performance. There is still a lack of empirical evidence on how networks or spatial factors can differentially affect innovation efficiency due to cluster heterogeneity. China has endogenous clusters formed by small and medium‐sized firms and numerous clusters mainly based on government planning instrument, such as industrial zones and high‐tech parks. There are controversies over these planned cluster, such as insufficient firm connections and weak innovation effectiveness.Cluster innovation is a complex socio‐economic process that combines endogenous context, exogenous factors and interacts with multi‐spatial relationships. This perspective may explain the differences in which heterogeneous clusters improve efficiency. This paper draws on first‐hand data obtained from 188 questionnaires. The Lingang Equipment Manufacturing Cluster in Shanghai and the Taizhou Machine Tool Manufacturing Cluster in Zhejiang serve as examples of heterogeneous clusters. We combine the cluster's endogenous and exogenous characteristics, network size and strength of network ties, and local and non‐local innovation spaces to discuss the impact on innovation efficiency. Expecting to provide a reference for improving the innovation efficiency of heterogeneous clusters in developing economies. The results suggest that regardless of local or non‐local scales, exogenous clusters have a more pronounced effect of local network size and non‐local tie strength on innovation performance based on demand for proximity to customers and suppliers.

Self-Reliance in Community-Based Rural Tourism: Observing Tourism Villages (Desa Wisata) in Sleman Regency, Indonesia

Self-reliance is essential for community-based rural tourism (CBRT), ensuring effective running in the long term. However, existing studies have focused on general self-reliance conditions while overlooking details surrounding the community’s self-reliance in each activity of the CBRT value chain. This study filled this significant gap by observing community self-reliance in CBRT and considering the tourism value chain (TVC) framework. Built upon the abduction method, this study applied the systematic combining approach to observe three aspects of self-reliance, i.e., goals or objectives, rights and abilities, and owned resources, in the TVC of CBRT entities. Taking the case of CBRT in Sleman Regency, Indonesia, the data collection involved representatives of 49 community-based tourism villages (desa wisata). The results showed that observing community self-reliance in CBRT allows for the identification of multifaceted self-reliance problems in rural tourism communities. Apparently, the observed CBRT initiatives are unable to achieve complete self-sufficiency across all aspects of self-reliance. Reliance on external collaboration and support networks persists out of necessity rather than an inability to self-manage. Policy protections, capacity building, and collaborative partnerships are necessary to develop resilient and sustainable rural tourism amidst necessary dependencies. CBRT planning and policies should hence consider the abovementioned aspects of self-reliance to empower CBRT toward sustainable rural development.

Analisis Implementasi Keamanan Sistem Informasi pada Perusahaan Herald Sulsel

As a company that manages large amounts of sensitive data, information system security is a critical factor to protect important company information and maintain data integrity and availability. This article aims to analyze the implementation of information system security at the Herald Sulsel Company, as well as identify the steps taken by the company to protect its information system. This study uses a qualitative approach by collecting data through interviews with key personnel involved in information system security management, as well as through a review of existing security documents and policies. The results of this analysis provide an in-depth understanding of employee awareness of the importance of information system security, the company's efforts to protect information system security and internal and external network management to prevent security attacks. The findings of this study indicate that the Herald Sulsel Company has implemented a number of effective security measures. Herald Sulsel uses its own and third party server systems to prevent unauthorized access to their network. Encryption and authentication are also used to protect sensitive data sent over the network.

Building higher value-added firm practices in challenging contexts: Formal networks and talent management in Turkey

Where do high-impact human resources management practices thrive, and how do they make a difference in environments with limited institutional support? This study delves into the realm of talent management (TM) in Turkey, where institutional coverage is incomplete and unstable. Drawing on survey data, we explore the conditions under which TM succeeds, supplementing previous research on internal networks by examining the impact of external networks that encompass the entire firm. We find that when firms have closer ties with customers, suppliers and competitors (and hence, the basis for formal network tie building), TM is more prevalent and more likely to be successful. While conventional wisdom in comparative institutional literature suggests that such dense ties might be less effective in emerging markets owing to the absence of advanced complementarities found in mature economies, our study challenges these assumptions. In the eyes of managers, TM is not merely a tool to overcome disadvantages; it is perceived as a source of opportunities. This prompts a critical question: what specific advantages does the emerging economy system confer on firms embracing TM? Our study seeks to unravel these dynamics and contribute to a deeper understanding of the interplay between institutional contexts and TM.

Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks

The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of cross-platform applications. To integrate cross-platform data, user identity linkage is envisioned as a promising technique by detecting whether different accounts from multiple social networks belong to the same identity. The profile and social relationship information of IoT users may be inconsistent, which deteriorates the reliability of the effectiveness of identity linkage. To this end, we propose a topic and knowledge-enhanced model for edge-enabled IoT user identity linkage across social networks, named TKM, which conducts feature representation of user generated contents from both post-level and account-level for identity linkage. Specifically, a topic-enhanced method is designed to extract features at the post-level. Meanwhile, we develop an external knowledge-based Siamese neural network for user-generated content alignment at the account-level. Finally, we show the superiority of TKM over existing methods on two real-world datasets. The results demonstrate the improvement in prediction and retrieval performance achieved by utilizing both post-level and account-level representation for identity linkage across social networks.