Logic Process Research Articles

Software Reliability Model Estimation for an Indeterministic Crime Cluster through Reinforcement Learning

The software reliability model estimates the probability of data failure in a specific environment, significantly impacting reliability and trustworthiness. The paper study focuses on cluster crime data, i.e., indeterministic in Neutrosophic Logic, using a software reliability model. The study utilizes reinforcement learning, Neutrosophic logic, and non-homogeneous Poisson process crime data to estimate indeterministic cluster data in crime. The "Non-homogeneous Poisson Process with Neutrosophic Logic" technique performs well in evaluating and deterring crime based on crime data analysis. The crime cluster involving offenders correctly classified as failure to accomplish does better than uncertain cluster reliability estimation with least squares and logistic regression analysis. The method enables crime prediction and prevention by using concave growth models to create an uncertain crime cluster, penalizing the correct person.

A Framework for Innovating the Technological Startup in the Cordillera Region through an E-commerce Mobile Platform

The technological startup community is beginning to be recognized in solving various needs in the Cordillera region. However, these technological startups have limited growth because they encounter challenges such as financial concerns, limited market reach, lack of awareness of intellectual property rights, and inadequate digital infrastructure. Thus, the researcher proposed the development of an e-commerce mobile application that addresses the needs of startups. Through the use of data gathering techniques, the researcher was able to determine the design considerations in terms of the architecture framework and features of the e-commerce mobile application that addressed the problems encountered by startups in the Cordillera region. The use of the 4+1 view model illustrated the architecture framework of the e-commerce mobile platform for intended stakeholders by providing a logical view, process view, physical view, development view, and scenario view. The architecture framework was used to determine the features to be integrated into the proposed e-commerce mobile application to address the challenges of the technological startups of the Cordillera region.

The Evolution of Cinemas in Prague from the Second Half of the Twentieth Century: A Contemporary Perspective

The article approaches the situation of Prague cinemas in the second half of the 20th century from the end of the Second World War to the Velvet Revolution within the socio-historical background from the point of view of an architect and a cinephile. The entire text is arranged chronologically in four paragraphs reflecting the contemporary political and social situation. It approximates the post-war period full of ideological ideals, when the construction of a dense network of cinemas became a key element of national renewal, not only in large cities but also in the regions. The following decade brought a paradigmatic shift, when local single-screen cinemas gave way to large cultural houses with multifunctional use (film, theatre, gallery, restaurant, sports facilities, etc.). It deals with the socially relaxed sixties, reflecting the synergy of various artistic disciplines, thanks to which Czechoslovakia presented to the world new artistic disciplines based precisely on film projection – “polyekran” (polyscreen) and “laterna magika” (a combination of projection and performance with live actors). The imaginary culmination of the new wave period was the opening of the luxury cinema 64 U Hradeb, which is given more attention in the text below. Furthermore, the text outlines the situation of cinemas in large Prague housing estates and deals with Czech brutalism in the context of foreign architecture and with the only brutalist cinema still operating today – the Dlabačov cinema. The final part of this article gives a brief overview of the total number of cinemas established in this period in the territory of Prague and a comparison with other European metropolises with a similar socio-cultural background. The research has the ambition to understand and approach how to integrate valuable cinema buildings on the territory of Prague into the daily life of contemporary Prague residents through the investigation of the cinema phenomenon, and the development of cinematography and cinema architecture as such, from its inception to the present day. The general logical processing methods are historical and socio-cultural analysis, architectural and urban research including architectural drawings, photographic documentation and a study of the urban development of the appearance of individual cinemas, comparison and deduction.

DAM SRAM CORE: An Efficient High-Speed and Low-Power CIM SRAM CORE Design for Feature Extraction Convolutional Layers in Binary Neural Networks

This article proposes a novel design for an in-memory computing SRAM, the DAM SRAM CORE, which integrates storage and computational functionality within a unified 11T SRAM cell and enables the performance of large-scale parallel Multiply–Accumulate (MAC) operations within the SRAM array. This design not only improves the area efficiency of the individual cells but also realizes a compact layout. A key highlight of this design is its employment of a dynamic aXNOR-based computation mode, which significantly reduces the consumption of both dynamic and static power during the computational process within the array. Additionally, the design innovatively incorporates a self-stabilizing voltage gradient quantization circuit, which enhances the computational accuracy of the overall system. The 64 × 64 bit DAM SRAM CORE in-memory computing core was fabricated using the 55 nm CMOS logic process and validated via simulations. The experimental results show that this core can deliver 5-bit output results with 1-bit input feature data and 1-bit weight data, while maintaining a static power consumption of 0.48 mW/mm2 and a computational power consumption of 11.367 mW/mm2. This showcases its excellent low-power characteristics. Furthermore, the core achieves a data throughput of 109.75 GOPS and exhibits an impressive energy efficiency of 21.95 TOPS/W, which robustly validate the effectiveness and advanced nature of the proposed in-memory computing core design.

Numeracy Literacy Ability Viewed by Characteristics of Students' Way of Thinking

Thinking is a cognitive activity that produces different ways of solving problems which affects numeracy literacy ability. The numeracy literacy consists of two domains, namely change and relationship and quantity. This study aimed to describe students’ numeracy literacy ability viewed by characteristics of students’ way of thinking. This study was a qualitative research with a phenomenological design. The participants were eight 9th grade students from a junior high school in Central Java, Indonesia, who had different characteristics, that are concrete sequential (CS), concrete random (CR), abstract sequential (AS), and abstract random (AR). The data were collected by using written tests, questionnaires, and interviews. The results show that each characteristic had its own way of solving the numeracy literacy problems. In quantity domain, CS, CR, and AR students tend to answer the problem with one solution; however, AS students responded with various alternative answers. In change and relationship domain, a difference was observed between concrete thinkers and abstract thinkers. CS and CR students tend to solve problems by using an example to take a trial-and-error approach. Meanwhile, AS and AR students tend to work using existing concepts by manipulating the formulas in the question with logical and rational processes. Keywords: characteristics of students’ way of thinking, junior high school, numeracy literacy ability

Manufacturing Industry Resource Endowment Index and Its Big Data Model

This study aims to demonstrate the application of big data models in the evaluation of manufacturing competitiveness across different countries and economic entities. It involves analyzing algorithms and data structures, designing algorithms for evaluating manufacturing competitiveness suitable for different countries and economic entities, and providing algorithmic and theoretical support for building computer assessment models for manufacturing competitiveness in economic entities. The research adopts qualitative and quantitative methods, comparing and analyzing empirical data on manufacturing resource endowment and competitiveness in various countries, combining theoretical analysis and empirical data. By conducting a literature review and empirical research, relevant information and data are collected to establish the relationship between manufacturing resource endowment index and competitiveness. Through case studies and comparative research, this study explores the main factors affecting manufacturing competitiveness in different countries and their interrelationships. It confirms that the competitiveness of manufacturing industries in different countries is influenced by factors such as resource endowment. Further analysis quantifies the relationship between national manufacturing resource endowment and competitiveness, leading to the design of computer algorithms, data structures, and processing logic. The results demonstrate the significant role of resource endowment in manufacturing competitiveness, serving as a crucial basis for formulating comprehensive national strategies. The innovations of this study include: 1. Introducing the manufacturing resource endowment index as a key variable for evaluating competitiveness, enriching the content of competitiveness big data models. 2. Designing comprehensive data structures, algorithms, and processing logic for assessing manufacturing competitiveness from multiple perspectives. 3. In-depth analysis of the relationship and analytical methods between manufacturing strategies, resource endowment, and competitiveness, providing theoretical and model references for the design of computer big data operation platforms.

Modeling and Performance Analysis of a Notification-Based Method for Processing Video Queries on the Fly

With the rapid growth of video data, the search for content and events in videos is becoming increasingly relevant, and many challenges arise. Various approaches have been proposed to deal with many issues. However, many open questions are still related to computational cost and latency, especially for real-time applications. Considering the need for new and efficient solutions, the so-called NOP (Notification Oriented Paradigm) could be a suitable alternative. NOP introduced a new way of thinking and developing software in which small collaborative entities perform fact execution and logical decision processing based on precise notifications. Following these concepts and practical tools, this paper proposes a new querying processing method based on NOP, focusing on search and matching in a continuous flow context. Experiments on a labeled dataset demonstrated the suitability of the proposed method for low-latency processing with polynomial complexity. The results are better than the state of the art, which works at exponential cost.

A Cross-Process Signal Integrity Analysis (CPSIA) Method and Design Optimization for Wafer-on-Wafer Stacked DRAM

A multi-layer stacked Dynamic Random Access Memory (DRAM) platform is introduced to address the memory wall issue. This platform features high-density vertical interconnects established between DRAM units for high-capacity memory and logic units for computation, utilizing Wafer-on-Wafer (WoW) hybrid bonding and mini Through-Silicon Via (TSV) technologies. This 3DIC architecture includes commercial DRAM, logic, and 3DIC manufacturing processes. Their design documents typically come from different foundries, presenting challenges for signal integrity design and analysis. This paper establishes a lumped circuit based on 3DIC physical structure and calculates all values of the lumped elements in the circuit model with the transmission line model. A Cross-Process Signal Integrity Analysis (CPSIA) method is introduced, which integrates three different manufacturing processes by modeling vertical stacking cells and connecting DRAM and logic netlists in one simulation environment. In combination with the dedicated buffer driving method, the CPSIA method is used to analyze 3DIC impacts. Simulation results show that the timing uncertainty introduced by 3DIC crosstalk ranges from 31 ps to 62 ps. This analysis result explains the stable slight variation in the maximum frequency observed in vertically stacked memory arrays from different DRAM layers in the physical testing results, demonstrating the effectiveness of this CPSIA method.

Responsive Anionophores with AND Logic Multi‐Stimuli Activation

AbstractArtificial ion transport systems have emerged as an important class of compounds that promise applications in chemotherapeutics as anticancer agents or to treat channelopathies. Stimulus‐responsive systems that offer spatiotemporally controlled activity for targeted applications remain rare. Here we utilize dynamic hydrogen bonding interactions of a 4,6‐dihydroxy‐isophthalamide core to generate a modular platform enabling access to stimuli‐responsive ion transporters that can be activated in response to a wide variety of external stimuli, including light, redox, and enzymes, with excellent OFF‐ON activation profiles. Alkylation of the two free hydroxyl groups with stimulus‐responsive moieties locks the amide bonds through intramolecular hydrogen bonding and hence makes them unavailable for anion binding and transport. Triggering using a particular stimulus to cleave both cages reverses the hydrogen bonding arrangement, to generate a highly preorganized anion binding cavity for efficient transmembrane transport. Integration of two cages that are responsive to orthogonal stimuli enables multi‐stimuli activation, where both stimuli are required to trigger transport in an AND logic process. Importantly, the strategy provides a facile method to post‐functionalize the highly active transporter core with a variety of stimulus‐responsive moieties for targeted activation with multiple triggers.

Due Process and Unintended Consequences: Contradictions Between Campus Sexual Assault Support Services Create Barriers for Service Delivery

ABSTRACT Changes in Title IX policy feature questions about due process and procedures, however campus response to sexual violence includes a wide array of support professionals each with their own guiding principle, or institutional logic. Building on prior research identifying contradictions between service professionals and the theory of institutional logics, this study draws on a thematic analysis of qualitative interviews with service professionals from two universities to further examine the root of these contradictions that restrict vital services to student victims. Findings highlight how the Title IX logic of due process operates as a limit on confidentiality becoming a harmful contradiction to other units’ logics. Strategies to resolve contradictory logics that limit service provision for students through Title IX policy are discussed.

Performance Analysis of Vedic Multiplier in Signal Processing Applications

The demand for quick and effective real-time digital signal processing (DSP) applications has increased due to the rapidly advancing technology. Digital signal processors, or DSPs, are essential to several engi- neering specialties. In DSPs, quick multiplication is crucial for operations like Fourier transformations and convolution. One of the fundamental arithmetic processes required by all applications is multiplication. To increase their speed, numerous multiplier designs have been created. Vedic multipliers are among the quick- est and lowest power multipliers compared to array and booth multipliers which are the result of decades of intensive research. The Vedic Multiplier works with sixteen sutras, or algorithms, most of which are for logical processes. Since several of them have been proposed utilizing the Urdhava Tiryakbhyam sutra, they are the fastest and most efficient. This paper's goal is to summarise the many uses of Vedic Multiplier in the broad field of digital signal processing such as image processing, with a focus on the various ways that Vedic Multiplier designs that are now in use have been modified to improve speed and performance metrics.

IN-MEMORY INTELLIGENT COMPUTING

Context. Processed big data has social significance for the development of society and industry. Intelligent processing of big data is a condition for creating a collective mind of a social group, company, state and the planet as a whole. At the same time, the economy of big data (Data Economy) takes first place in the evaluation of processing mechanisms, since two parameters are very important: speed of data processing and energy consumption. Therefore, mechanisms focused on parallel processing of large data within the data storage center will always be in demand on the IT market.
 Objective. The goal of the investigation is to increase the economy of big data (Data Economy) thanks to the analysis of data as truth table addresses for the identification of patterns of production functionalities based on the similarity-difference metric.
 Method. Intelligent computing architectures are proposed for managing cyber-social processes based on monitoring and analysis of big data. It is proposed to process big data as truth table addresses to solve the problems of identification, clustering, and classification of patterns of social and production processes. A family of automata is offered for the analysis of big data, such as addresses. The truth table is considered as a reasonable form of explicit data structures that have a useful constant – a standard address routing order. The goal of processing big data is to make it structured using a truth table for further identification before making actuator decisions. The truth table is considered as a mechanism for parallel structuring and packing of large data in its column to determine their similarity-difference and to equate data at the same addresses. Representation of data as addresses is associated with unitary encoding of patterns by binary vectors on the found universe of primitive data. The mechanism is focused on processorless data processing based on read-write transactions using in-memory computing technology with significant time and energy savings. The metric of truth table big data processing is parallelism, technological simplicity, and linear computational complexity. The price for such advantages is the exponential memory costs of storing explicit structured data.
 Results. Parallel algorithms of in-memory computing are proposed for economic mechanisms of transformation of large unstructured data, such as addresses, into useful structured data. An in-memory computing architecture with global feedback and an algorithm for matrix parallel processing of large data such as addresses are proposed. It includes a framework for matrix analysis of big data to determine the similarity between vectors that are input to the matrix sequencer. Vector data analysis is transformed into matrix computing for big data processing. The speed of the parallel algorithm for the analysis of big data on the MDV matrix of deductive vectors is linearly dependent on the number of bits of the input vectors or the power of the universe of primitives. A method of identifying patterns using key words has been developed. It is characterized by the use of unitary coded data components for the synthesis of the truth table of the business process. This allows you to use read-write transactions for parallel processing of large data such as addresses.
 Conclusions. The scientific novelty consists in the development of the following innovative solutions: 1) a new vector-matrix technology for parallel processing of large data, such as addresses, is proposed, characterized by the use of read-write transactions on matrix memory without the use of processor logic; 2) an in-memory computing architecture with global feedback and an algorithm for matrix parallel processing of large data such as addresses are proposed; 3) a method of identifying patterns using keywords is proposed, which is characterized by the use of unitary coded data components for the synthesis of the truth table of the business process, which makes it possible to use the read-write transaction for parallel processing of large data such as addresses. The practical significance of the study is that any task of artificial intelligence (similarity-difference, classification-clustering and recognition, pattern identification) can be solved technologically simply and efficiently with the help of a truth table (or its derivatives) and unitarily coded big data . Research prospects are related to the implementation of this digital modeling technology devices on the EDA market. KEYWORDS: Intelligent

High-density via RRAM cell with multi-level setting by current compliance circuits

In this work, multi-level storage in the via RRAM has been first time reported and demonstrated with the standard FinFET CMOS logic process. Multi-level states in via RRAM are achieved by controlling the current compliance during set operations. The new current compliance setting circuits are proposed to ensure stable resistance control when one considers cells under the process variation effect. The improved stability and tightened distributions on its multi-level states on via RRAM have been successfully demonstrated.

Responsive Anionophores with AND Logic Multi-Stimuli Activation.

Artificial ion transport systems have emerged as an important class of compounds that promise applications in chemotherapeutics as anticancer agents or to treat channelopathies. Stimulus-responsive systems that offer spatiotemporally controlled activity for targeted applications remain rare. Here we utilize dynamic hydrogen bonding interactions of a 4,6-dihydroxy-isophthalamide core to generate a modular platform enabling access to stimuli-responsive ion transporters that can be activated in response to a wide variety of external stimuli, including light, redox, and enzymes, with excellent OFF-ON activation profiles. Alkylation of the two free hydroxyl groups with stimulus-responsive moieties locks the amide bonds through intramolecular hydrogen bonding and hence makes them unavailable for anion binding and transport. Triggering using a particular stimulus to cleave both cages reverses the hydrogen bonding arrangement, to generate a highly preorganized anion binding cavity for efficient transmembrane transport. Integration of two cages that are responsive to orthogonal stimuli enables multi-stimuli activation, where both stimuli are required to trigger transport in an AND logic process. Importantly, the strategy provides a facile method to post-functionalize the highly active transporter core with a variety of stimulus-responsive moieties for targeted activation with multiple triggers.

Building Trust Through Care: A Feminist Take on Inclusion in Multi-Track Mediation

ABSTRACT Inclusion is seen as a ‘golden standard’ in conflict mediation, and multitrack peace processes as a tool to operationalize it. However, when non-official (Track Two and Three) actors do not have faith in the official (Track One) peace process, a critical tension emerges, undermining the underlying logic of multitrackness. This article examines this tension, applying a feminist lens to the peace processes in Georgia and Nagorno-Karabakh. It calls for a re-thinking of the hierarchical logic of a multitrack peace process, predominant in much of the literature and practice, and to (re-)centre practices of care, relationship and movement-building, and social reproduction.

Humanitarian import substitution: Some results and current tasks of the Russian social science

The relevance of the issues under consideration is determined by the recent fundamental social-political transformations associated with the exacerbation of a complex set of cultural, civilizational and, thus, intellectual contradictions between Russia and the West. These contradictions force both the Russian society and the Russian social science to reconsider the results of the last thirty years and to predict future scenarios, including intellectual ones. The article summarizes some results of the development of the Russian social science in the post-Soviet period and discusses (at least invites to a discussion) the possible contours of its further development according to the new logic of social processes. The article considers both the achievements of the Russian social-humanitarian thought in the post-Soviet period and its problems, primarily the loss of intellectual independence due to the uncritical borrowing and dogmatization of many Western intellectual models, some of which were created to understand a different social-cultural reality, and others were initially an intellectual weapon against the USSR (Russia). The author proposes the concept of “humanitarian import substitution” as a possible guideline for further development, which should be implemented on the principle of avoiding extremes: on the one hand, uncritical denial of the generally significant achievements of the Western social science and humanities; on the other hand, dogmatization of the ideas of Russian social scientists. The author considers as a resource for such “substitution” the largely untapped analytical and explanatory potential of the Russian literary tradition that can become a theoretical-methodological basis for many social and humanitarian models and concepts.

Design of Wireless Multiple Gases Complementary Architecture Sensors Based on SnSe2 and PtSe2 Layered Films and Oscillating Circuits

AbstractOwing to the increasing demand for monitoring harmful toxic gases using small‐sized low‐power‐consumption gas sensors, a room‐temperature wireless complimentary gas sensor incorporating layered materials is proposed and demonstrated. The compact design allows the sensing module to be installed under all conditions and facilitates multiple detections of toxic gas. Highly chemical‐resistance‐sensitive materials based on n‐type SnSe2 and p‐type PtSe2 layered materials prepared by the plasma‐assisted chemical vapor reaction (PACVR) method at low temperatures are integrated with an oscillation circuit and antenna fabricated by a 28‐nm CMOS high‐k metal gate logic process to achieve dense, low‐powered, and wireless characteristics. By pairing n‐ and p‐type layered semiconductors, the gas sensors feature less influence from the surroundings, such as temperature and humidity, and enhance sensitivity to the target gas simultaneously. The wireless sensing detection method enables a sensor to make signal reception more convenient. Furthermore, a wireless gas sensor with self‐converging calibration using the advantage of a floating‐gate (FG) transistor to control the charge quantity by shifting the threshold voltage (Vth) of each transistor via the channel hot electron injection effect, which helps to reduce the impact of process variations, minimizing readout errors, is proposed.

Checking Temporal Constraints of Events in EBS at Runtime

Abstract As a kind of software system, the Event-Based Systems (EBS) respond to events rather than executing a predefined sequence of instructions. Events usually occur in real time, so it is crucial that they are processed in the correct order and within temporal constraints. The objective of this work is to propose an approach to check if events of EBS at runtime preserve the specification of temporal constraints. To form the approach by logic process, we have formalized the EBS model, through which, we have proved that the complexity of the checking algorithms is only polynomial. The approach has been implemented as a tool (VER) to check EBS at runtime automatically. The results of the proposed method are illustrated by checking a real-world Event Driven Architecture (EDA) application, an Intelligent transportation system.

Research on cultural diversity and sustainable land-use management assessment model

This study quantitatively evaluated the role of cultural diversity and psychological awareness in sustainable land-use management (SLUM). Firstly, an assessment model based on fuzzy analytic hierarchy process is established by combining fuzzy logic, expert knowledge and analytic hier-archy process. The model addresses the uncertainty of qualitative assessment and adapts to dy-namic environments and complex human behavior. The research process included a literature review and expert consultation to identify key factors influencing land use and assign weights to these factors through FAHP. Subsequently, FAHP determined that cultural diversity had the highest weight among all considerations, indicating the urgent need to respect and integrate local cultural diversity in land management. Psychological awareness follows closely, suggesting that land-use decisions are profoundly influenced not only by tangible economic and environmental conditions, but also by the psychological states, knowledge levels, value systems, and social perceptions of groups and individuals. These findings highlight the need to consider and integrate these intangible factors when developing land management strategies. This approach fosters broad social acceptance and participation, ultimately moving towards the long-term goal of sustainable land use. Finally, the study provides decision-makers with a tool for identifying subtle differences at the cultural and psychological levels that can help develop more nuanced and personalized management options for different land use strategies.

하나의 해체적 독법

Attempts to read the language experience of the film MINARI from the perspective of Philosophy of Language in Wittgenstein can be proved sufficiently on the textual dimension. However, this study aims to argue that in reverse, the Ordinary Language of MINARI can be established as a reference text in understanding Wittgenstein's philosophy in toto. This is because MINARI and Wittgenstein's Philosophy of Language share the homogenous dialectical worldview. The central methodology for this essay is to reconstruct the logical process of what kind of de-constructive interactions language and ordinary life go through in the drama of MINARI and Wittgenstein's Weltanschuung. Chapter 2, ‘Name and Substance’ will show that the identity of the subject 'I' itself to the world is situated in a variable relationship between Name and Substance. Chapter 3, ‘From Synchronicity to Diachronicity’ attempts to illustrate that the way of existence of life (drama) in the world of 'I' as a social community is altered from a synchronical state to that of the diachronical one through de-constructive processes. Chapter 4, ‘Space of Experience, Experience of Space’ will demonstrate that the space of experience in the perspective of 'I' and the experience of space in the perspective of the world are in a complementary relationship for each other. As a result of this study, it is possible to confirm the significant metaphysical affinity between the authorship of Lee Isaac Chung and Wittgenstein’s expression of life on the textual dimension.