Selection Logic Research Articles

Mechanics of reproductive differentiation in the land plants: a paradigm shift?

This article addresses the physical mechanics of gametogenesis in vascular plants. The earliest events that initiate reproductive differentiation in the land plants are not well understood. How are the few cells that initiate reproductive differentiation specified and how is that information translated into action at the cellular level? In this article I propose a physical mechanism that resolves the problem of spatial targeting without invoking dependence on diffusible morphogens or other external signals. I suggest that the initiation of archesporial differentiation can instead be attributed to the confluence of organ geometry, surficial topography, and the physical mechanics of sporangial growth, resulting in the spontaneous emergence of an isotropic singularity that locates and precipitates archesporial differentiation. In discussing the logic of single-cell target selection and the limits of stochastic molecular signaling I propose that the sporangium would be better understood as a pressurized stress-mechanical lens that focuses turgor-generated growth forces on a central location, generating a physical singularity that locates and specifies the cell or cells that become the archesporium and initiates their transition from somatic proliferation to reproductive differentiation.

High-Speed Optical Chaotic Data Selection Logic Operations with the Performance of Error Detection and Correction

High-Speed Optical Chaotic Data Selection Logic Operations with the Performance of Error Detection and Correction

A simplex approach for binary linear programming

This article is a research, design, and development effort, on an algorithm for Binary Linear Programming (BLP). The idea of the algorithm is based on the concepts borrowed from the Simplex method of Linear Programming (LP). The Simplex method has both column selection and row selection logics for generating a pivot. In this article we select both logics of LP to use as only the column selection logic for the BLP. The article provides the complete implementable C-language source code of this version of the BLP algorithm to show all the details of the logics. In addition, it provides a simple software requirement for embedded engineering products based on the laws of nature. It helps to design, modify, and maintain a simpler code for the algorithms. Therefore, the article uses a multidisciplinary approach. It integrates optimization theory, matrix algebra, computer programming, software engineering design requirements, social science, laws of nature, etc. This BLP algorithm will shed some light on the P-NP problem and its solution.

Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments

Abstract Additive manufacturing (AM) has transformed job shop production and catalysed the growth of Makerspaces, FabLabs, Hackspaces, and Repair Cafés. AM has enabled the handling and manufacturing of a wide variety of components, and its accessibility has enabled more individuals to make. While smaller than their production-scale counterparts, the objectives of minimizing technician overhead, capital expenditure, and job response time remain the same. The typical First-Come First-Serve (FCFS) operating model, while functional, is not necessarily the most efficient and makes responding to a-typical or urgent demand profiles difficult. This article reports a study that investigated how AM machines configured with Minimally Intelligent agents can support production in these environments. An agent-based model that simulated 5, 10, 15, and 20 AM machines operating a 9 am−5 pm pattern and experiencing a diverse non-repeating demand profile was developed. Machines were configured with minimal intelligence – FCFS, First-Response First-Serve (FRFS), Longest Print Time (LPT), Shortest Print Time (SPT), and Random Selection logics – that governed the selection of jobs from the job pool. A full factorial simulation totaling 15,629 configurations was run until convergence to a ranked list of production performance – min Job Time-in-System. Performance changed as much as 200%. Performant configurations featured a variety of logics, while the least performant were dominated by FCFS and LPT. All FCFS (a proxy for today’s operations) was one of the least performant configurations. The results provide an optimal set of logics and performance bands that can be used to justify capital expenditure and AM operations in Makerspaces.

Functional view and technological progress of a sociotechnical system: illustrated with an interventionist state

PurposeOrganizations use innovations and respond to external pressures, creating a transition to the sociotechnical system. In their transitions, they interact with the environment and undergo adaptation-selection. The extant literature used a multilevel perspective (MLP) with a structural view and examined dynamics and transitions (phenomena) in a noninterventionistic setting. This study aims to examine the dynamics and phenomena with a microstructural or functional view and expand the MLP; this paper uses neo-institutionalism and human values as part of the functional view. Moreover, when the authors examine the phenomena in an interventionistic setting, they can obtain certain unique dynamics and their influence on the phenomena.Design/methodology/approachThe authors need to examine the phenomena in its setting, so this paper selected a case study, Indian electricity generation. For diverse heuristic and analytic views, it selected two Indian states.FindingsThe findings from the functional view showed that organizations exhibit certain traits of neo-institutionalism and human values, which mediate their responses (behavior) to external pressures. Additionally, due to the interventionist state, their dynamics use shaping instead of selection logic for innovations, which decides the transition pathway selection (technology adoption). It further decided the extent to which innovations cumulate as stable designs. As a result, the responses and the transition provide benefits in the short term while invariably failing in the long term.Research limitations/implicationsBy selecting cases with higher investments in renewable energies and combustible fuels, the authors can expand the functional view to include user typologies such as producers, intermediaries and citizen groups and obtain further insights into transitions.Practical implicationsThe study highlights the generation dynamics specific to Indian electricity generation and its transition pathways. The study’s outcome provides insights to researchers and practitioners in formulating policy changes and transforming electricity generation.Originality/valueThe study uses a functional view comprising neo-institutionalism and human values and expands the sociotechnical transition theory. In addition, selecting an interventionist setting provided insights into dynamics specific to organizational behavior and associated services. Finally, the obtained insights offer suggestions for technology development to better manage transitions with adaptation-selection.

Radix-4 CORDIC algorithm based low-latency and hardware efficient VLSI architecture for Nth root and Nth power computations

In this article, a low-complexity VLSI architecture based on a radix-4 hyperbolic COordinate Rotion DIgital Computer (CORDIC) is proposed to compute the N{{rm th}} root and N{{rm th}} power of a fixed-point number. The most recent techniques use the radix-2 CORDIC algorithm to compute the root and power. The high computation latency of radix-2 CORDIC is the primary concern for the designers. N{{rm th}} root and N{{rm th}} power computations are divided into three phases, and each phase is performed by a different class of the proposed modified radix-4 CORDIC algorithms in the proposed architecture. Although radix-4 CORDIC can converge faster with fewer recurrences, it demands more hardware resources and computational steps due to its intricate angle selection logic and variable scale factor. We have employed the modified radix-4 hyperbolic vectoring (R4HV) CORDIC to compute logarithms, radix-4 linear vectoring (R4LV) to perform division, and the modified scaling-free radix-4 hyperbolic rotation (R4HR) CORDIC to compute exponential. The criteria to select the amount of rotation in R4HV CORDIC is complicated and depends on the coordinates X^j and Y^j of the rotating vector. In the proposed modified R4HV CORDIC, we have derived the simple selection criteria based on the fact that the inputs to R4HV CORDIC are related. The proposed criteria only depend on the coordinate Y^j that reduces the hardware complexity of the R4HV CORDIC. The R4HR CORDIC shows the complex scale factor, and compensation of such scale factor necessitates the complex hardware. The complexity of R4HR CORDIC is reduced by pre-computing the scale factor for initial iterations and by employing scaling-free rotations for later iterations. Quantitative hardware analysis suggests better hardware utilization than the recent approaches. The proposed architecture is implemented on a Virtex-6 FPGA, and FPGA implementation demonstrates 19% less hardware utilization with better error performance than the approach with the radix-2 CORDIC algorithm.

Single or pluralistic? The game and balance of China's community governance policy tools.

Policy tools embody policy concepts and are essential to achieving policy objectives. The effective allocation of policy tools directly impacts the effectiveness of community governance and determines the modernization process of grassroots governance. We aim to analyze the logic of community governance policy tool selection, and then provide assistance for the modernization of grassroots governance. We selected 100 national and provincial government work reports and 63 policy documents related to community governance during China's "12th Five-Year Plan" to "14th Five-Year Plan" period as analysis samples. And build an analysis framework based on the three dimensions of time, space, and tools. We used Nvivo.20 software for text encoding analysis. Based on the model framework, we analyze the results as follows. From the perspective of the time dimension, among the five types of policy tools, the proportion of command-type policy tools used showed a downward trend, from 88.16% in the 12th Five-Year Plan to 83.50% in the 14th Five-Year Plan. However, motivation-type and persuasion-type tools showed an upward trend, rising from 1.34% and 5.26% in the 12th Five-Year Plan period to 3.40% and 8.74% in the 14th Five-Year Plan respectively. The system-change-type policy tools decreased from 1.32% in the 12th Five-Year Plan to 0.97% in the 14th Five-Year Plan. The proportion of capacity-building-type policy tools has gradually increased from 2.63% in the 12th Five-Year Plan to 4.85% in the 14th Five-Year Plan. From the perspective of spatial dimension, apart from command and persuasion policy tools, the usage frequency of the other three types of policy tools in the three major regions all display a "growth-decline-growth" trend. From the perspective of tool dimension, command-type policy tools are dominant in China's community governance, with a cumulative frequency of 1405 times and a high proportion of 81.75%. Apart from command policy tools, persuasive policy tools and capacity-building policy tools have a relatively high proportion, with usage frequencies of 186 and 78 respectively. We found that current community governance policy tools mainly consist of command tools. However, there is a trend towards combining tools such as command, persuasion, incentive, capacity building, and system change in the future. There is a typical contradiction between instrumental rationality and value rationality, indicating an evolution from instrumental rationality to the integration of instrumental and value rationality. This study addresses the conflict of policy tools through rational guidance of values, the rational guarantee of tools, and cooperation to achieve the goal of high-quality development of community governance.

W-IQ: Wither-logic based issue queue for RISC-V superscalar out-of-order processor

The rise of RISC-V Instruction Set Architecture (ISA) motivates research on improving the performance of the RISC-V processors. Issue Queue (IQ) is an essential factor affecting the Instructions Per Clock (IPC) and delay. This paper proposes a Withering-logic Based Issue Queue (W-IQ) to improve IPC while reducing the delay. We further evaluate the IPC of W-IQ with the XCVU440 FPGA. The average running time of the SPEC2006 of the W-IQ is 34% shorter than that of the non-compaction IQ with position-based selection logic. Furthermore, for a 65 nm CMOS process, the W-IQ delay is 27% lower than compaction IQ with the serial age-aware selection logic.

SOFT GAS DETECTION ON THE ARDUINO PLATFORM

This article soft gas detection on the Arduino platform is an affordable and accessible approach to monitoring the presence of specific gases in the environment. This article provides a comprehensive guide on implementing soft gas detection using Arduino, covering key aspects such as gas sensor selection, wiring, calibration, data interpretation, and control logic implementation. By leveraging the capabilities of Arduino boards and compatible gas sensors, users can create reliable gas detection systems for various applications. The article highlights the importance of proper sensor calibration, data interpretation, and safety precautions when working with potentially hazardous gases. Soft gas detection on the Arduino platform offers a cost-effective solution for gas monitoring, making it suitable for hobbyists, students, and professionals alike.

Clutter and Interference Cancellation in River Surface Velocity Measurement with a Coherent S-Band Radar

Using a Doppler radar to measure river surface velocity is a safe and effective technique. However, the measurement would be severely affected by undesired targets that enter the illuminated area of radar. The issue is worsened when measuring the surface velocities of wide rivers because undesired targets such as boats and ships are more likely to be present. The buoy boats fixed on the river surface and cargo ships sailing on the river would generate ground clutter and moving target interference, respectively. The clutter and interference can mask the signal produced by the Bragg scattering and seriously bias the extraction result of river surface velocity. This paper proposes two effective methods to remove ground clutter and moving target interference, respectively. One is an improved phase-based method that eliminates ground clutter after obtaining its boundaries through the phase in the frequency domain, and another is an improved constant false alarm rate (CFAR) detector that combines smallest-of selection logic and a multi-step deletion scheme to detect and remove interference in the time-Doppler spectrum. The experimental data measuring the surface velocity of the Yangtze River with a coherent S-band radar in July 2022 are used to verify the proposed methods. The results show that the proposed methods can effectively remove ground clutter and moving target interference, respectively. After clutter and interference cancellation, a more reasonable result of river surface velocity distribution can be extracted. Therefore, the methods proposed in this paper can be used to remove clutter and interference when extracting the surface velocity of rivers with numerous undesired targets.

Adaptive green split optimization for traffic control with low penetration rate trajectory data

Adaptive traffic signal control systems often rely on expensive physical detection infrastructure. However, with the advent of widespread trajectory data, it is now possible to implement adaptive control entirely avoiding such costs. We present two simple adaptive control policies which only require sample delay and number of stops, with the goal to mitigate the presence of oversaturation. The simplicity stems from the necessity of controlling under any trajectory penetration rate. The two policies differ on the possibilities of the control infrastructure to be implemented. The first one minimizes oversaturation by deviating from a reference pre-timed signal plan. This signal plan can be an existing one or an estimated one from aggregating trajectory data. The second policy creates first a set of green split plans to be then selected by a control logic. This second policy is intended to be used in SCATS-like systems where signal plans are limited to a pre-defined discrete set. We propose a plan selection logics or alternatively, the original plan selection policy can be used as well. Both policies are tested in the field, achieving a significant reduction in delay, oversaturation and spillover ratios. Lastly, we test an application of this policy as an enhancement of SCATS systems in the presence of malfunctioning physical detectors.

Counterfactuals and the logic of causal selection.

Everything that happens has a multitude of causes, but people make causal judgments effortlessly. How do people select one particular cause (e.g., the lightning bolt that set the forest ablaze) out of the set of factors that contributed to the event (the oxygen in the air, the dry weather … )? Cognitive scientists have suggested that people make causal judgments about an event by simulating alternative ways things could have happened. We argue that this counterfactual theory explains many features of human causal intuitions, given two simple assumptions. First, people tend to imagine counterfactual possibilities that are both a priori likely and similar to what actually happened. Second, people judge that a factor C caused effect E if C and E are highly correlated across these counterfactual possibilities. In a reanalysis of existing empirical data, and a set of new experiments, we find that this theory uniquely accounts for people's causal intuitions. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The LiTE-DTU: A Data Conversion and Compression ASIC for the Readout of the CMS Electromagnetic Calorimeter

The High-Luminosity phase of operation of the CERN LHC collider (HL-LHC) will pose new challenges to the detectors and their readout electronics. In particular, the CMS barrel electromagnetic calorimeter will require a full redesign of the electronic readout chain in order to cope with the increase in luminosity and trigger rate. In this framework, a new Application Specific Integrated Circuit (ASIC) integrating A/D conversion, lossless data compression and high speed transmission has been developed and tested. The ASIC, named LiTE-DTU, is designed in a commercial CMOS 65 nm process and embeds two 12-bit, 160 MS/s Analog to Digital Converters (ADCs), a data selection and compression logic, and a 1.28 Gb/s output serial link. The high-speed 1.28 GHz clock is generated internally from the 160 MHz input by a clock multiplication Phase-Locked Loop (PLL). The circuit has been designed implementing radiation tolerant techniques in order to work in the harsh environment of the HL-LHC upgrade. The LiTE-DTU is currently in the pre-production phase. A sample of 600 chips has been tested and incorporated into front end boards for systems performance testing.

The road to European parliament mandate for populist radical-right parties: Selecting the ‘perfect’ AfD candidate

With growing public distrust toward European institutions, Eurosceptic populist radical-right parties make up almost a third of MEPs in the current European Parliament. As part of the larger scholarly debate on populist parties’ success, this article examines intra-party selection logic for the ‘perfect’ populist radical-right MEP candidate. Using original data from participant observation and interviews with Alternative for Germany delegates during the 2018/2019 European Election Assembly, this study suggests that party members were more likely to be selected as candidates if they (1) possessed extensive network with right-wing social movements to strengthen their electoral mobilization; (2) and showed strong commitment to party cohesion and good reputation to fend off accusations of racism and Nazism.

Anti-unwinding adaptive super-twisting attitude control for spacecraft

This article addresses the attitude maneuver control without unwinding based on variable gain(i.e. adaptive) super-twisting algorithm and the modified Rodrigues parameters(MRPs). First, a selection logic for the MRP set and its shadow set is designed in order to construct an attitude control system model for rigid spacecraft. Second, a nonlinear sliding function is presented, and on the sliding phase, finite-time convergence and anti-unwinding performance are guaranteed. As a result, a first order sliding mode controller is created to ensure finite-time convergence and anti-unwinding performance on the reaching phase. To alleviate the chattering and improve convergence speed, an adaptive super-twisting algorithm is presented, and the finite-time convergence and anti-unwinding performance are guaranteed on the reaching phase. Furthermore, the adaptive gains are designed based on dual-layer adaptive law, which allows the gains to be increased and decreased as appropriate. It is further demonstrated that when the controller gains are time-varying according to adaptive law, the convergence property and anti-unwinding performance are guaranteed. Numerical simulations are carried out to illustrate the closed-loop system's performance under the proposed control scheme.

A dynamic K-means-based clustering algorithm using fuzzy logic for CH selection and data transmission based on machine learning

A dynamic K-means-based clustering algorithm using fuzzy logic for CH selection and data transmission based on machine learning

What Is the Rational Choice of Community Governance Policy

Community governance is the “micro-cell” of social governance and the foundation of the governance system. The rational selection logic of community governance policy reflects the value orientation, goal selection, and tool guarantee of governance policy. It is the result of the interaction between government and public values and it reflects the final value choice in the form of policy text and tries to balance policy rationality through accurate calculation. Through the analysis of 100 government work reports and 63 community governance policy documents of the Chinese government from 2013 to 2022, it was found that “People-oriented” was the core value orientation of governance policy. “Better life” was a key target choice for governance policy. “Diversified tools” were an important implementation guarantee for governance policy. These rational choices were consistent between the central and the local governments, but there was a conflict between localities. Urban and rural community governance policies need to establish a public space between policy rationality and value selection to solve the targeting bias of policy rationality in the future. This paper solves the conflict between policy rationality and value choice using the paths of expert think tank construction, highlighting leading goals, and using technology empowerment, to adjust the tension between the two through reasonable value choice and balanced policy rationality, to achieve the goal of urban and rural community governance modernization.

Narratives of a lost spatial pattern: a spatial analysis of the distribution of Namo Daoguans in Guangzhou in Republican period

ABSTRACT This study employed a three-layer urban fabric analysis method based on Space Syntax techniques to analyze the spatial distribution of the Zhengyi 正一 Namo Daoguans (Nahm-mouh Daoist halls 喃呒道馆) in Guangzhou City during the Republic of China era in quantitative and qualitative ways. We investigated their relationships with physical geographic elements, population numbers, the spatial distribution of local temples, cultural practices, and urban topological spaces, which reflected the complexity and flexibility of their distribution patterns, as well as the marginal, commercial nature of the ritual industries they operate. Meanwhile, compared to other influencing urban factors, the Normalized angular choice (NACH) of urban streets plays a decisive role in the spatial distribution of most Namo Daoguans. The locations of Namo Daoguans were mainly chosen on the streets that people passed through most often, and the travel distance within 750 meters (about 10 minutes walking distance) could nearly encompass all Namo Daoguans. Finally, we summarize the logic and pattern of site selection for the Namo Daoguans in Guangzhou at that time. These new findings deepen the current understanding of related knowledge and provide a basis for future planning and design assessment of related spaces.

Statutes in English Monastic Cartularies

Medieval English monastic houses were used to compile collections of various texts important for them for some reason. There are a number of such cartularies and registers, mostly dated to the 13—15th centuries. Their contents were usually concerned with proving of ownership rights of a religious house (writs, property deeds, rentals, etc.). However, there are copies of some legislative monuments. The content analysis of such compilations allows us to determine which legislative texts were of more importance to the monastic authorities and in which context there was need to right them down. The research is based on the materials of Benedictine Canterbury Cathedral priory, as compared with compilations of some English religious houses. Legislative documents are characteristic for the cartularies of later 13th — early 14th centuries. They are usually set in a separate unit, and their repetition could indicate the authority of these texts. The most frequently reproduced legal text is that of the Magna Carta, which is often accompanied by statutes of Edward I. Thus, the preference is given to the acts contemporary to the compilation. In the Canterbury priory’s collection, these cartularies are connected with Prior Henry Eastry. The comparison with other monastic collections demonstrates that the attention to the legislation was perhaps more pronounced in Canterbury priory than in other religious houses. As a whole, monastic interest in legislative documents was quite sporadic, and it is problematic to deduce their selection logic.

GNSS-free Online Calibration of Inertial Measurement Units in Road Vehicles

This paper presents a realtime recursive algorithm that can estimate, starting from an unknown pose, the mounting angles (roll, pitch and yaw) of an inertial sensor unit using accelerations and angular velocities. We analyze the use case of telematic boxes (E-Box) that are mounted on ground vehicles for safety reason (like E-call or automatic crash detection) or driving style monitoring. In order to work properly and record meaningful data, the box reference frame needs to be correctly aligned with the vehicle one. The proposed algorithm aligns the two reference frame online while the car is running throughout a series of filters and data point selection logics. Results show that the algorithm is robust with respect to any box mounting position or vehicle, with, on average, a convergence time of less than 20 minutes to the correct angles.