Channel Scheme Research Articles

Experts vs. Peers: The Role of Situational Characteristics in Opinion Seeking on Electronic Networks of Practice

With advances in information and communication technologies (ICT), organizations of various forms now deploy an increasing number of ICT-enabled persuasive systems in several domains. Traditional computer-mediated communication (CMC) theories mainly focus on the effectiveness of media in the synchronous/asynchronous spectrum for effectively matching medium with communication task. The contemporary communication environment is rich with asynchronous channels such as email, Web, and text messaging, which makes it important to go beyond synchronicity and determine the nuances among various asynchronous channels. No rigorous research has compared the effectiveness of these channels in the persuasive systems domain where organizations use technology to persuade users to modify their behavior in a direction that they mutually agree to be desirable. In this paper, we study the effectiveness of CMC and the strategy used to frame the persuasive message. We explore persuasive strategies of praising, reminding, suggesting, and rewarding for health behavior and promotion. We model user experience as a mediator between channel strategy combinations and persuasive effectiveness. Through controlled user studies, we compared sixteen combinations of communication channel and persuasive strategy with or without emoticons. We found that channel/strategy combinations affect persuasive effectiveness (mediated by user experience) in varying degrees. Our findings contribute to the body of CMC and persuasive system knowledge and have practical implications for online advertising, health promotion, and persuasive technology design.

News Editorial Strategy from Social Media as Online Media

Online media continues to experience development both in terms of management to news content. This condition occurs along with the massive use of social media so that mass media often makes it one of the initial references in making a journalistic product. This research was carried out on detikcom media channel detikSulsel which also often broadcasts news of viral events from social media. The purpose of the study was to determine the strategy of detikcom detikSulsel channel in presenting viral news that references from social media so that the public avoid hoaxes. This study used descriptive qualitative method. In this case, researchers interpret and explain the data obtained from interviews, observations, and documentation, so as to get detailed and clear answers to problems. The results of the study found that detikcom editors of detikSulsel channel apply standards and strategies in presenting viral news from social media. detikcom media emphasizes professionalism and the Code of Journalistic Ethics in making news whose references are taken from social media. Among them, detikcom media is required to verify and interview if news references are taken from viral events from social media.

Linear feedback coding scheme for multiple-access fading channels with degraded message sets.

Channel coding technology plays an important role in wireless communication systems, and it serves as a crucial mechanism to reduce interference during the transmission process. As the fifth-generation (5G) and sixth-generation (6G) wireless communication systems rapidly advance, requirements of the users on the quality and security of wireless service are increasing. To solve these problems, it calls for us to explore the new channel coding technologies. In this paper, a linear feedback coding scheme for fading multiple-access channels with degraded message sets (FMAC-DMS) is proposed. In this scheme, the transmitting beamforming and channel splitting are used to transform the channel with complex signals into scalar equivalent sub-channels. Then, the extended Schalkwijk-Kailath coding scheme (SK) is further applied to each sub-channel. The channel capacity, finite blocklength (FBL) sum-rate and FBL secrecy achievable sum-rate of the FMAC-DMS in single-input single-output (SISO) and multi-input single-output (MISO) cases are derived. Finally, we show that the proposed scheme not only provides a FBL coding solution but also guarantees physical layer security(PLS). The numerical and simulation results show the effectiveness of the proposed scheme as a channel coding solution. The study of this paper provides a new method to construct a practical FBL scheme for the FMAC-DMS.

Well perforation optimization using an abrasive jet technique to create oriented slotted channels in terrigenous reservoirs

Various casing perforation methods are used to ensure a hydrodynamic reservoir-to-well connection. However, perforated wells often do not perform satisfactorily during production. This is largely due to a decrease in the permeability of the near-wellbore formation as a result of casing perforation work. Studies and analysis of existing casing perforation methods have shown the effectiveness of abrasive jet perforation. The paper presents the results of numerical modeling to optimize the layout of slot channels during the abrasive jet perforation (AJP) of terrigenous productive object. Geomechanics analysis of the influence the formation scheme and orientation of the slotted channels in the productive layer during abrasive jet perforation on the permeability of terrigenous reservoirs of the oil fields in the Perm Krai was performed. The disadvantages of widespread methods of exposing perforation are described and the advantages of abrasive jet perforation based on geomechanical modeling are revealed. The calculations carried out on the placement of slotted channels showed that the distance between the systems of slotted channels is not important, since they weakly interact with each other in height with standard schemes. It was established that the best placement scheme for jet slot channels is a system of four slot channels shifted along the length of the well to the height of the slot channel with a phasing of 90°. Comparative calculations of the reservoir permeability of the near-well zone for various perforation methods have been performed.

Marketplace or reseller? The effect of asymmetric selling cost and demand information

PurposeWe explore the driving forces behind the channel choices of the manufacturer and the platform by considering asymmetric selling cost and demand information.Design/methodology/approachThis paper develops game-theoretical models to study different channel strategies for an E-commerce supply chain, in which a manufacturer distributes products through a platform that may operate in either the marketplace channel or the reseller channel.FindingsThree primary models are built and analyzed. The comparison results show that the platform would share demand information in the reseller channel only if the service cost performance is relatively high. Besides, with an increasing selling cost, the equilibrium channel might shift from the marketplace to the reseller. With increasing information accuracy, the manufacturer tends to select the marketplace channel, while the platform tends to select the reseller channel if the service cost performance is low and tends to select the marketplace channel otherwise.Practical implicationsAll these results have been numerically verified in the experiments. At last, we also resort to numerical study and find that as the service cost performance increases, the equilibrium channel may shift from the reseller channel to the marketplace channel. These results provide managerial guidance to online platforms and manufacturers regarding strategic decisions on channel management.Originality/valueAlthough prior research has paid extensive attention to the driving forces behind the online channel choice between marketplace and reseller, there is at present few study considering the case where a manufacturer selling through an online platform faces a demand information disadvantage in the reseller channel and sales inefficiency in the marketplace channel. To fill this research gap, our work illustrates the interaction between demand information asymmetry and selling cost asymmetry to identify the equilibrium channel strategy and provides useful managerial guidelines for both online platforms and manufacturers.

E‐commerce platform finance with dual channels

AbstractIn the platform economy era, e‐commerce platforms function as distribution channels for sellers and offer online loans to sellers as financing providers. This study focuses on platform finance, where the platform sets a credit line or interest rate to offer either a limited or unlimited loan to capital‐constrained sellers. The sellers may have sufficient initial capital or be capital‐constrained but have access to limited or unlimited loans. We found that the optimal sellers' channel strategy, choosing either a single channel or online‐dominant or offline‐dominant dual channels, depends on the platform's credit line, consumers' channel preferences, and their switching behavior between online and offline channels. Given an unlimited (or limited) loan, the seller's dominated channel's quantity decreases (or increases) with her initial capital. The seller's and platform's preference for the unlimited loan or limited loan depends on the dominant channel and the seller's capital constraint. Loan offerings result in Pareto improvements for both participants, which reveals the value platform finance brings. We compare platform finance with bank finance and find that platform finance increases the sellers' threshold quantity without stockout in each channel and encourages the seller to place a higher quantity in both channels. We also examine the channel substitution effect on the sellers' quantity decisions. Findings provide insights for platforms and sellers to implement optimal financing and channel structures to increase their profits.

Impact of Intense Modulation on Soliton Power Propagation across Optical Fiber and Optical Wireless Channels

The optical pulse generator model in Optisystem 20 is utilized to generate an optical soliton pulse. The performance evaluation of highly modulated soliton power transmission is carried out on both optical fiber and optical wireless communication channels. The evaluation considers a flow rate of 40 Gbps and a link distance, which is not specified in the provided context. Among the proposed modulation schemes, which include CPFSK, FSK, and PSK, CPFSK demonstrates superior performance for both communication channels. Increasing the number of bits per symbol enhances the bit error rate (BER) at the fiber or wireless channel, as received by the optical receiver, for different modulation schemes, except for the CPFSK scheme. Thus, it is evident that the CPFSK modulation scheme is more efficient and outperforms other modulation schemes for various communication channels. Hence, it is evident that the CPFSK modulation scheme exhibits superior efficiency and outperforms other modulation schemes for a variety of communication channels.

Finite blocklength feedback approach for multi-antenna wireless channels.

Ultra-reliable low-latency communication (URLLC) is a key technology in future wireless communications, and finite blocklength (FBL) coding is the core of the URLLC. In this paper, FBL coding schemes for the wireless multi-antenna channels are proposed, which are based on the classical Schalkwijk-Kailath scheme for the point-to-point additive white Gaussian noise channel with noiseless feedback. Simulation examples show that the proposed feedback-based schemes almost approach the corresponding channel capacities.

Sequential logic circuit gold codes for electronics and communication technologies

The linear feedback shift register (LFSR) and Gold codes are used in telecommunications, Global Positioning System (GPS), satellite navigation, wireless systems, and code division multiple access (CDMA) dependent channel schemes for numerous radio communication technologies Gold codes are distinguished by their capacity to provide various orthogonal sequences.•The objective of the article is to focus on the design and simulation of the LFSR-based gold code generator chip in Xilinx ISE 14.7 software with the logic synthesis in Virtex-5 field programmable gate array (FPGA) and check the switching behavior with large frequency support applicable in fast-switching optical, and wireless electronics systems.•The methodology comprises design, functional simulation with different test inputs, and FPGA synthesis. The chip design is verified for the 10-bit seeding sequence of LFSRs to result in 1023-bit code with the frequency support of 310 MHz, and 9.285 ns delay.•The chip design is simulated based on seed data and different tap points of LFSR registers from which the bits are considered to generate the feedback. The design is scalable and has greater potential to extend to a larger extent. The behavior of the gold code depends on the maximum length sequence, absolute cross-correlation, and size of LFSR.

Correction: Bayesian inference of kinetic schemes for ion channels by Kalman filtering

Correction: Bayesian inference of kinetic schemes for ion channels by Kalman filtering

Digital Marketing Strategy Formulation For Distributor-Based Company Using Digital Customer Journey Approach (Study Case: PT Barca Trios Chemindo)

The research objectives is to identify critical touchpoint (s) of digital customer journey in PT BTC marketplace channel strategy, to discover the result of current PT BTC digital customer journey feedback, to give recommendation in digital marketing strategy to improve PT BTC digital customer journey, and to give supporting strategy to enhance PT. In this research, data collection methods will be using qualitative data from Primary Data and Secondary Data. This research found 5 critical touchpoints of digital customer journey in PT BTC marketplace channel strategy, like Awareness, Appeal, Ask, Act, Advocate. Current marketplace channel strategy is effective to catch new B2B customers but less effective to retain their consistency to buy via online transaction. From this finding research, the best suitable digital marketing strategy that fit to PT BTC customer journey is creating and establishing website and improving its system to become modify-website that enabled to e-commerce facilities. The supporting strategy to establishing website marketing strategy is purposing new company’s marketing division structure to delegate workload better, more effective and more efficient.

Manufacturer's channel strategy in live streaming E‐commerce supply chain

AbstractThis study investigates the manufacturer's live streaming sales strategy. Considering the vertical differences in products, we build a live streaming sales model for an e‐commerce supply chain. We examined different live streaming channel strategies for the manufacturer, with the base strategy being no live streaming sales and the manufacturer only reselling a high‐quality product on the e‐commerce platform. The manufacturer's strategies for choosing live streaming include selling a high‐ or low‐quality product on independent and e‐commerce platform channels. We solve the solutions under different scenarios, comparing the equilibrium solutions and discussing the impact of live streaming under different channel models. We find that live streaming channel encroachment by the manufacturer can achieve a win–win situation for both the manufacturer and e‐commerce platform, and the encroachment of a low‐quality product can achieve a larger win–win situation. In the independent live streaming channel, the manufacturer chooses to sell a high‐quality product under the quality and cost advantages. In the e‐commerce platform's live streaming channel, the presence of commissions further influences the manufacturer's strategy. In the extended model, we analyze the spillover effect of live streaming sales. A multi‐agent‐based simulation model is developed to validate the conclusions of the main model.

Multi‐hop anonymous payment channel network based on onion routing

AbstractPayment channel networks (PCNs) are one of the most promising off‐chain solutions to the blockchain scalability problem. However, most current payment channel schemes suffer from overly ideal routing assumptions or fail to provide complete path privacy protection. To address the above problems, the multi‐hop anonymous and privacy‐preserving PCN scheme are analyzed and a multi‐hop anonymous PCN based on onion routing is proposed based on it. The scheme removes the routing assumptions of the original scheme, designs an onion routing‐based payment channel network, and modifies the way relay nodes construct elliptic curve discrete logarithmic problems to resist wormhole attacks. Finally, the security analysis shows that the scheme in this paper has atomicity, relational anonymity and resistance to wormhole attacks. The latest bilinear pairing anonymous multi‐hop payment (EAMHL+) scheme is used to compare communication and computing overhead. The results show that the scheme in this paper requires less communication overhead and is more efficient in terms of computational overhead when the average hop number of the payment channel network is 3 hops and the network diameter is 6 hops.

Optimized design of smart toilet spray bar flow channel based on CFD

Currently, there are significant issues with the intelligent toilets available on the market, such as a large swing of the spray bar when spraying water column and eccentricity. This paper presents four optimization schemes for the intelligent toilet spray bar channel by analysing and redesigning a specific model. Computational Fluid Dynamics (CFD) technology was employed to analyse the water flow conditions inside the spray bar of the intelligent toilet. The calculation results indicate that for the same water inlet flow rate, the optimal structure in optimization scheme 1 is the block with a length (L) of 1.5 mm. In optimization scheme 2, the optimal structure is the block located at position (3). In optimization scheme 3, the optimal structure is a 15° rotation, which exhibits the least swirls and pressure loss while maintaining the prototype structure. When the prototype structure is modified, the optimal structure in optimization scheme 4 is the excision bend pipe. This structure exhibits the lowest swirl number and pressure loss among all the optimization schemes. The determined structure offers valuable insights for enhancing the flow characteristics of the improved product.

Time-Frequency Domain Channel Estimation for OTFS Systems

Orthogonal-time-frequency-space (OTFS) has been developed as a promising modulation scheme for high Doppler channels. In OTFS systems, channel estimation (CE) plays a key role. Most existing CE schemes put pilots in delay-Doppler (DD)-domain, often resulting in low spectrum efficiency and high peak-to-average-power-ratio (PAPR). In this paper, we propose three schemes to solve the problems. Proposed methods have distinct features being able to estimate fractional delays and fractional Dopplers. Different from existing methods, our approach places pilots in time-frequency (TF)-domain. The first scheme overlaps pilots and data in both TF- and DD-domain, while Scheme II overlaps them in TF- but not in DD-domain. To further enhance the performance, the third scheme makes pilots and data non-overlapped in both TF- and DD-domain. To conduct CE, time-domain pilot signals are extracted with a filtering operation and a two-dimensional frequency estimation problem is formulated consequently. Delays are first estimated with root-MUSIC. Then, Dopplers are estimated using a simple line-fitting method. Finally, channel gains are estimated by a least-squares method. To solve the interference between pilots and data, successive-interference-cancellation (SIC) is also applied. With the estimated channel, a minimum-mean-square-error (MMSE) equalizer is used for the compensation of channel effect. Simulation results show that the bit-error-rate (BER) performance with the channel estimated by proposed CE methods can approach to that with known channel. Also, spectrum efficiency can be improved by at most 25% and PAPR can be reduced by at least 19 dB.

A comparative analysis of channel strategies for refurbished products: The influence of blockchain, brand spillover on co‐opetitive supply chain

AbstractIndustry insiders and researchers have widely recognized refurbishment as an environmentally friendly activity that reduces raw material waste and energy consumption. Simultaneously, blockchain is increasingly used in the supply chain with its information transparency and traceability. The refurbished product market possesses substantial potential. Nevertheless, refurbished products carry an inherent risk of brand spillover. Within this framework, manufacturers must weigh broader considerations in selecting product distribution channels. In this study, we discuss three sales models for new and refurbished products in the secondary market, namely, Scenarios M (where the manufacturer sells new products to consumers through the retailer and sells refurbished products to consumers directly), R (where the manufacturer sells new products to consumers through the retailer, and the retailer produces and sells refurbished products alongside new products), and C (where the manufacturer sells new products to consumers, and the remanufacturer sells refurbished products to consumers through a retailer). Upon examining the equilibrium outcomes of each model, it is evident that a manufacturer's decision to produce refurbished products hinges on market demand. High demand for refurbished goods inclines manufacturers towards the M scenario, whereas insufficient demand leads to cessation of refurbishment activities. Conversely, retailers navigate between R and C scenarios based on market demand. The advent of blockchain technology shifts the strategic focus: the extent of brand spillover supersedes market demand as the pivotal factor influencing retailers' production strategies. Blockchain technology can increase manufacturers' profits. Interestingly, in Scenario C, blockchain does not always improve retailer profits.

Entrepreneurial Orientation and Strategy Channel Distribution to Success Entrepreneurship with Superiority Compete as Mediation on Center Coffee Muria Kudus

This study analyzes the influence of entrepreneurial orientation and distribution channel strategy on entrepreneurial success with competitive advantage as mediation in the Muria coffee center Kudus, Central Java, Indonesia. This research is descriptive statistically by testing hypotheses. The sample was 110 business actors. Sampling technique using Purposive Sampling The data collection used in this study is a questionnaire method. Test Instruments use validity tests, reliability tests, and normality tests. Analysis of data used Structural Equation Modeling operated through the AMOS program. The results are entrepreneurial orientation does not have a significant direct effect on competitive advantage. Distribution channel strategy directly affects competitive advantage, and entrepreneurial orientation has no significant direct effect on entrepreneurial success. Distribution channel strategy has a direct effect on entrepreneurial success. Competitive advantage has a direct effect on entrepreneurial success. Competitive advantage can mediate the influence of entrepreneurial orientation on entrepreneurial success, and competitive advantage can mediate the influence of distribution channel strategy on entrepreneurial success as partial mediation.

Stereo matching of binocular laparoscopic images with improved densely connected neural architecture search.

Stereo matching is a crucial technology in the binocular laparoscopic-based surgical navigation systems. In recent years, neural networks have been widely applied to stereo matching and demonstrated outstanding performance. however, this method heavily relies on manual feature engineering meaning that professionals must be involved in the feature extraction and matching. This process is both time-consuming and demands specific expertise. This paper introduces a novel stereo matching framework DCStereo that realizes a fully automatic neural architecture design for the stereo matching of binocular laparoscopic images. The proposed framework utilizes a densely connected search space which enables a more flexible and diverse architecture composition. Furthermore, the proposed algorithm leverages the channel and path sampling strategies to reduce memory consumption during searching. Empirically, our searched DCStereo on the SCARED training dataset achieves a mean absolute error of 3.589mm on the test dataset, which outperforms hand-crafted stereo matching methods and other approaches. Furthermore, when directly testing on the SERV-CT dataset, our DCStereo demonstrates better generalization ability than other methods. Our proposed approach leverages the neural architecture search technique and a densely connected search space for automatic neural architecture design in stereo matching of binocular laparoscopic images. Our method delivers advanced performance on the SCARED dataset and promising results on the SERV-CT dataset. These findings demonstrate the potential of our approach for improving clinical surgical navigation systems.

Study on the Management and Planning Methods of Transportation to and from Primary and Secondary Schools in Urban and Rural Areas

The transportation of urban and rural primary and secondary schools leads to traffic congestion in some sections, and the traffic order is chaotic, which seriously affects the travel of surrounding residents and greatly increases the additional traffic delay of pickup. How to effectively manage and plan the transportation of urban and rural primary and secondary schools and rationally plan the channelization of transportation roads have become a topic of great concern to the society. This paper will take several primary and secondary schools with representative traffic environment as the research object, analyze the behavior mechanism of the pick-up process, propose coping strategies for the school pick-up congestion problem under different road conditions, and plan a reasonable road channelization scheme and intersection design scheme. Finally, through the VISSIM simulation software, the proposed scheme and the original traffic environment are simulated and analyzed, and the vehicle delay before and after the improvement is compared, so as to find out whether the traffic planning and management scheme given in response to the school address in different traffic environments is reasonable. Through the simulation results, it is found that it is beneficial to reduce vehicle delay and avoid traffic jam by changing bidirectional to unidirectional on road section. In the vicinity of the intersection, one-way is the main way, and planning multiple drop-off points is helpful to solve the traffic congestion caused by school pick-up.

Three-Stage Rapid Physical Design Algorithm for Continuous-Flow Microfluidic Biochips Considering Actual Fluid Manipulations

With the continuous development of microfluidic technology, continuous-flow microfluidic biochips (CFMBs) are being increasingly used in the Internet of Things. The automation design of CFMBs has also received widespread attention. The architecture design of CFMBs is divided into a high-level synthesis stage and a physical design stage. Among them, the problem of the physical design stage is very complex. At this stage, the chip architecture is generated based on the device library and a set of flow paths, taking into account the actual fluid manipulations, while minimizing the cost of the chip, such as the number of ports, total length of flow channels, number of flow channel intersections. As fabrication technology advances, the number of devices integrated into CFMBs is increasing. The existing physical design algorithms can no longer meet the design requirements of CFMBs in terms of time. Therefore, we propose a three-stage rapid physical design algorithm for CFMBs considering the actual fluid manipulations. The proposed algorithm includes a port-driven preprocessing stage, a force-directed quadratic placement stage, and a negotiation-based routing stage. In the port-driven preprocessing stage, a port-driven preprocessing algorithm is proposed to generate connection matrices between ports and devices to reduce the number of ports introduced. In the force-directed quadratic placement stage, we model the placement problem as an extremum problem of a quadratic cost function, which mathematically reduces the search space significantly and shortens the running time of the algorithm significantly. In the negotiation-based routing stage, a heuristic negotiation-based routing algorithm and a flow channel strategy that prioritizes the construction of parallel execution are proposed to reduce the running time of the algorithm while ensuring that the number of crossings in the routing solution is close to the optimal solution. Experimental results confirm that our proposed method is able to generate the high-quality solutions quickly. Under general scale problems, compared to the existing method based on ILP, our proposed method achieves a speedup ratio of 23,171 in terms of CPU time and optimizations in terms of number of ports and port reuse of 3.18% and 6.52%, respectively. These optimizations come at the cost of only a slight increase in the number of intersections, the flow length, and the number of flow valves. In addition, our proposed method can effectively solve large-scale problems that cannot be solved by existing method based on ILP.