Word Formation Process of Slang Word Used by Gamers In The Game Online “Mobile Legend”

This research analyzes about word formation process of slang word used by gamers in the game online “Mobile Legend”. The purposes of this research are to classify and to analyze the types of word formation processes of slang words used by gamers using theory word formation process by Yule (2010) and Katamba (2005) and to describe the meaning of slang words used by gamers. The method used in this research is descriptive qualitative. The data is formed of slang word in chat feature by gamers. In collecting the data, the researcher used participant observational method (SLC). Then, the analysis in this research, the researcher used agih method (distributional method) and used Segmenting Immediate Constituents Techniques (Teknik Bagi Unsur langsung/BUL) as the basic technique and delition technique (teknik lesap) as an advanced technique. The results of this research are stated as follows. Firstly, six types of word formation process in slang word used by gamers; abbreviation, acronym, borrowing, compounding, multiple process, and clipping. Then, the researcher found twelve slang words that utterances by gamer. While for word formation process, the type that dominant is compounding. In the meaning of slang word, the researcher only finds two from seven types of meaning by Leech (1981), they are: firstly social meaning and secondly connotative meaning.

Challenges in the Development of Soft Sensors for Bioprocesses: A Critical Review

Among the greatest challenges in soft sensor development for bioprocesses are variable process lengths, multiple process phases, and erroneous model inputs due to sensor faults. This review article describes these three challenges and critically discusses the corresponding solution approaches from a data scientist’s perspective. This main part of the article is preceded by an overview of the status quo in the development and application of soft sensors. The scope of this article is mainly the upstream part of bioprocesses, although the solution approaches are in most cases also applicable to the downstream part. Variable process lengths are accounted for by data synchronization techniques such as indicator variables, curve registration, and dynamic time warping. Multiple process phases are partitioned by trajectory or correlation-based phase detection, enabling phase-adaptive modeling. Sensor faults are detected by symptom signals, pattern recognition, or by changing contributions of the corresponding sensor to a process model. According to the current state of the literature, tolerance to sensor faults remains the greatest challenge in soft sensor development, especially in the presence of variable process lengths and multiple process phases.

Renovation cycle diagram

Introduction. A relatively new form of transformation of the territory in the current urban development, the renovation of quarters, requires close scientific study and methodological justification. Renovated neighborhoods, as well as projects for the construction of new houses, have individual features and characteristics. The authors hypothesize that, despite the variety of characteristics of renovated neighborhoods and projects for the construction of new houses, traditional in-line construction with the allocation of characteristic stages is possible. Materials and methods. To study the actual duration of the stages of creating objects under the renovation program (which is necessary to identify objects of similar duration), a special database was formed in the Scientific and Project Center “City Development”. As of 15.05.2021, 313 objects involved in the renovation program are included in this special database. A thorough verification of the specified database was performed. As a result, 122 objects with a spread of construction duration values from 11 months to 43.2 months are stored in the verified database. In addition, the materials of the information system for ensuring urban planning activities (ISOGD) of Moscow were used. The initial materials allowed us to identify a number of characteristic stages in the renovation program for each object. Results. To analyze the design duration of construction, the set of objects is divided into 2 parts: commissioning in 2021 and commissioning in subsequent years. For each part, histograms of the distribution of the duration of construction of houses during renovation are constructed and it is proved that the law of normal distribution is observed. A schematic model of renovation processes with multiple process durations is presented. The overall duration of the design (project stage) can take 1 year, construction — 2 years, and the combined stages: preparation of documents, relocation and demolition, will approximately take 1 year. This four-year wave cycle is then repeated the required number of times. The calendar plan of renovation for three wave objects with the allocation of the leading stream is presented. The ratio of flow processes during renovation is most clearly reflected in the constructed cyclogram of a multi-rhythmic object flow modified for renovation conditions. Combined schedules of renovation of in-line construction are constructed. Conclusions. Despite the considerable variety of renovated neighborhoods and projects for the construction of new houses, the authors of the article prove that traditional in-line construction with the allocation of characteristic stages is possible. For large contracting organizations, it is realistic to form a multi-rhythmic object flow with the allocation of the construction stage as the leading flow and calculate the renovation cyclogram.

Object-Centric Replay-Based Conformance Checking: Unveiling Desire Lines and Local Deviations

Conformance checking methods diagnose to which extent a real system, whose behavior is recorded in an event log, complies with its specification model, e.g., a Petri net. Nonetheless, the majority of these methods focus on checking isolated process instances, neglecting interaction between instances in a system. Addressing this limitation, a series of object-centric approaches have been proposed in the field of process mining. These approaches are based on the holistic analysis of the multiple process instances interacting in a system, where each instance is centered on the handling of an object. Inspired by the object-centric paradigm, this paper presents a replay-based conformance checking method which uses a class of colored Petri nets (CPNs) -- a Petri net extension where tokens in the model carry values of some types (colors). Particularly, we consider conservative workflow CPNs which allow to describe the expected behavior of a system whose components are centered on the end-to-end processing of distinguishable objects. For describing a system’s real behavior, we consider event logs whose events have sets of objects involved in the execution of activities. For replay, we consider a jump strategy where tokens absent from input places of a transition to fire move from their current place of the model to the requested places. Token jumps allow to identify desire lines, i.e., object paths unforeseen in the specification. Also, we introduce local diagnostics based on the proportion of jumps in specific model components. The metrics allow to inform the severity of deviations in precise system parts. Finally, we report experiments supported by a prototype of our method. To show the practical value of our method, we employ a case study on trading systems, where orders from users are matched to trade.

Minimizing makespan of a flexible machine under tooling contraints

Computer Number Control (CNC) milling and lathe machines are widely used in manufacturing due to their flexibility in producing parts with a wide variety of geometries. Each flexible machine has a tool magazine capable of holding a set of tools. As machining requirements for each job change, tools can be removed and different ones can be inserted so that the next job can be processed. The existing literature on the job scheduling and the tool loading can be divided into four main areas. The first area is the tool loading for a pre-specified job sequence where the objective is to determine the optimal tool loading by minimizing the number of tool switching. In addition to tool loading, the second area also focuses on sequencing the jobs too; however, the objective is the same as the first one. Rather than to minimizing the number to tool switching, the focal point of the third area has been shifted to minimizing the makespan in presence of multiple process plans. However, the main assumption is that the magazine can hold all tools needed to process all jobs and tool switching is not required. The fourth area considers the geometric and mechanical properties of the tool, assuming a tool switching may be required due to tool life. The job scheduling and the tool loading literatures do not consider multiple process plans or tool life into their problem. Therefore, the first part of this thesis provides a Dynamic Programming method to determine the optimal makespan for a pre-specified sequence of jobs, assuming tool switching may required due to multiple process plans, the capacity of the tool magazine and due to the tool life. In the second part, the assumption for fixed job sequence is relaxed and a heuristic approach is used to first sequence the jobs and then Dynamic Programming is applied to find the optimal makespan for that particular job sequence.

Minimizing makespan of a flexible machine under tooling contraints

Computer Number Control (CNC) milling and lathe machines are widely used in manufacturing due to their flexibility in producing parts with a wide variety of geometries. Each flexible machine has a tool magazine capable of holding a set of tools. As machining requirements for each job change, tools can be removed and different ones can be inserted so that the next job can be processed. The existing literature on the job scheduling and the tool loading can be divided into four main areas. The first area is the tool loading for a pre-specified job sequence where the objective is to determine the optimal tool loading by minimizing the number of tool switching. In addition to tool loading, the second area also focuses on sequencing the jobs too; however, the objective is the same as the first one. Rather than to minimizing the number to tool switching, the focal point of the third area has been shifted to minimizing the makespan in presence of multiple process plans. However, the main assumption is that the magazine can hold all tools needed to process all jobs and tool switching is not required. The fourth area considers the geometric and mechanical properties of the tool, assuming a tool switching may be required due to tool life. The job scheduling and the tool loading literatures do not consider multiple process plans or tool life into their problem. Therefore, the first part of this thesis provides a Dynamic Programming method to determine the optimal makespan for a pre-specified sequence of jobs, assuming tool switching may required due to multiple process plans, the capacity of the tool magazine and due to the tool life. In the second part, the assumption for fixed job sequence is relaxed and a heuristic approach is used to first sequence the jobs and then Dynamic Programming is applied to find the optimal makespan for that particular job sequence.

Optimization of the Indirect Extrusion Process of Copper-Clad Aluminum Rods by Methods of Statistical Experimental Designs and Numerical Analyses

The success of composite extrusion is influenced by multiple process parameters. In order to investigate the significance of specific parameters during indirect extrusion of copper-clad aluminum (CCA) rods, statistical methods were applied and a central composite experimental design was implemented. The runs of the experimental design were modeled with the finite element method based software DEFORM 2D and evaluated with respect to product quality, described by four response variables. Using variance and regression analyses, as well significant linear and quadratic effects of the five investigated process parameters as interactions between them were identified. Based on a statistical model, an overall optimum setting for the process parameters was predicted utilizing the response surface methodology with a desirability approach. By applying the output of the statistical analysis to an extrusion trial, the extrusion of a high quality CCA rod was achieved. Moreover, the results of the statistical analysis could be verified by comparing predicted and experimentally determined values of the investigated quality characteristics.