Intelligence Generation Research Articles

Tantangan Dosen dalam Mengaplikasikan Transformasi Nilai Ikhlas di STAIN Tgk. Dirundeng Meulaboh

State Islamic College (STAIN) Tgk. Dirundeng Meulaboh- West Aceh, is one of the tertiary institutions in Aceh which plays a very strategic role in creating a generation of intellectual and spiritual intelligence, so it requires lecturers who are able to transfer knowledge and values (morals) appropriately. One of the campus challenges is how to make the lacturers truly have sincerity in themselves and be able to be applied in their daily life while teaching. This study uses descriptive qualitative analysis methods, data collection techniques are observation, interviews, and documentation. The determination of research objects at STAIN Tgk. Dirundeng Meulaboh was invited because the campus is very strategically located in the west-south coast of Aceh, and is able to bring students from all over Aceh to study at the campus. The Results of the study: the understanding of lecturers and students regarding the transformation of sincere values is more in being able to carry out learning actually according to the SOP, and eliminating interference with the implementation of learning. The challenge of transforming the sincere value is the commitment of the lecturer himself in carrying out the mandate as a lecturer who is a religious professional (sincere)

Pengaruh Strategi Orientasi Pasar terhadap Kinerja Perusahaan (Studi kasus pada Industri Ritel Furniture di Kota Padang)

The Covid 19 Pandemic period, from March 2020 to the present. Disrupt company performance in several business sectors in Indonesia. Whether it's small businesses, medium businesses as well as large businesses, even though they are not spared from being affected by the current corona pandemic disaster. In the city of Padang, in addition to basic needs, namely food, secondary needs such as furniture also experienced a decline in demand. Several furniture retail businesses carry out marketing strategy improvement activities to maintain their business performance. One of the company strategies that can be used is a market orientation strategy to improve the company's performance in the future. The company's understanding of the market orientation strategy includes aspects of customers, competitors (Intelligence Generation), good ability to coordinate between functions (Intelligence Dissemination) and provide appropriate responses and responses in formulating the next strategy (responsiveness) within the company. positive and significant contribution to company performance.

A Hybrid Microstructure Piezoresistive Sensor with Machine Learning Approach for Gesture Recognition

Developments in flexible electronics have adopted various approaches which have enhanced the applicability of human–machine interface fields. Recently, microstructural integration and hybrid functional materials were designed for realizing human somatosensory. Nonetheless, designing tactile sensors with smart structures using facile and low-cost fabrication processes remains challenging. Furthermore, using the sensors for recognizing stimuli and feedback applications remains poorly validated. In this study, a highly flexible piezoresistive tactile sensor was developed by homogeneously dispersing carbon black (CB) in a microstructure porous sugar/PDMS-based sponge. Owning to its high flexibility and softness, the sensor can be mounted on human or robotic systems for different clinical applications. We validated the applicability of the proposed sensor by applying it to recognizing grasp and release forces in an open setting and to classifying hand motions that surgeons apply on the master interface of a robotic system during intravascular catheterization. For this purpose, we implemented the long short-term memory (LSTM)-dense classification model and five traditional machine learning methods, namely, support vector machine, multilayer perceptron, decision tree, and k-nearest neighbor. The models were used to classify the different hand gestures obtained in an open-setting experiment. Amongst all, the LSTM-dense method yielded the highest overall recognition accuracy (87.38%). Nevertheless, the performance of the other models was in a similar range, showing that our sensor structure can be applied in intelligence sensing or tactile feedback systems. Secondly, the sensor prototype was applied to analyze the motions made while manipulating an interventional robot. We analyzed the displacement and velocity of the master interface during typical axial (push/pull) and radial operations with the robot. The results obtained show that the sensor is capable of recording unique patterns during different operations. Thus, a combination of the flexible wearable sensors and machine learning could yield a future generation of flexible materials and artificial intelligence of things (AIoT) devices.

Photonic Synaptic Transistor Based on P-Type Organic Semiconductor Blending With N-Type Organic Semiconductor

Neuromorphic computing, with information sensing, processing, and storage capabilities, is driving the development of a new generation of artificial intelligence (AI). Photonic synaptic devices are essential components for improving information processing efficiency owing to their advantages of a high propagation speed, low latency, and large bandwidth. In this study, a photonic synaptic transistor simply based on p-type organic semiconductor blending with n-type organic semiconductor was fabricated via simple solution process in which only light was used to control the enhancement and inhibition of the synaptic conductance. The device can simulate fundamental synaptic properties. Additionally, the coordination between light stimulation and electrical stimulation was investigated, and the results show that light-pulse stimulation is beneficial for increasing the response current simulated by electrical pulses. This work represents a significant step towards the realization of high-efficiency AI electronics.

Research on the Problems and Countermeasures of Higher Education Management Informatization Development in the Computer Internet Era

The construction of local high-level universities is an important part of the comprehensive reform of higher education in China. With the coming of the computer “Internet +” era, major strategic tasks such as cloud computing, big data and new generation of artificial intelligence have been gradually laid out, which will further achieve the goal of educational modernization and the development of a powerful educational country. Promoting the development of education informatization in the Internet era has become the top priority in the development of national education. Based on the background of high-level universities, this paper first analyses the necessity of the educational informatization development. Then, this paper puts forward some problems. Finally, some suggestions are put forward [1].

Interface, interaction, and intelligence in generalized brain–computer interfaces

A brain-computer interface (BCI) establishes a direct communication channel between a brain and an external device. With recent advances in neurotechnology and artificial intelligence (AI), the brain signals in BCI communication have been advanced from sensation and perception to higher-level cognition activities. While the field of BCI has grown rapidly in the past decades, the core technologies and innovative ideas behind seemingly unrelated BCI systems have never been summarized from an evolutionary point of view. Here, we review various BCI paradigms and present an evolutionary model of generalized BCI technology which comprises three stages: interface, interaction, and intelligence (I3). We also highlight challenges, opportunities, and future perspectives in the development of new BCI technology.

Pengaruh Orientasi Pasar Terhadap Kinerja Perusahaan (Studi Pada Industri Ritel Komputer Di Kota Padang)

To win the competition, each party in the computer and IT industry needs to continue to increase the capacity of
 their respective companies. One thing that must be improved is managing market information. It's not a secret
 anymore now, who gets the information earlier it will be easy and win the competition. Information is not only
 used as data for the company, but needs to be followed up as part of the company's improvement process. One
 of the company strategies that can be used is a market orientation strategy to improve the company's
 performance in the future. The company's understanding of the market orientation strategy includes aspects of
 customers, competitors (Intelligence Generation), good ability to coordinate between functions (Intelligence
 Dissemination) and provide appropriate responses and responses in formulating the next strategy
 (responsiveness) within the company. positive and significant contribution to company performance.

The Influence of Market Orientation on Export Performance of Small and Medium-Sized Enterprises (SMEs) in Rwanda

Grounded on the resource-based theory, this study examined the role of market orientation (MO) dimensions in the export performance of small and medium enterprises (SMEs) in Rwanda. The study adopted an explanatory survey design and a cross-sectional strategy. Data were collected from a final sample of 105 respondents selected from 58 exporting firms purposively chosen due to the absence of a formal sampling frame. The collected data were analyzed using the structural equation modelling (SEM) technique with the analysis of moment structure (AMOS) version 25.0. The findings revealed that market intelligence generation (MIG) and market intelligence responsiveness (MIR) have a positive and significant influence on export performance but the influence of market intelligence diffusion (MID) was weak and insignificant. The mixed findings of this study confirmed that the development of MO is important for a firm to go international and that not all dimensions of MO are equally important factors for export performance, so much so that only MI and MIG contributed significantly to export performance. The proposed model, which was based on RBT, was therefore partially validated. The study recommends that policymakers develop an export education strategy for exporting SMEs to improve their performance.

The Regulation and Use of Artificial Intelligence and 5G Technology to Combat Cybercrime and Financial Crime in South African Banks

Artificial intelligence (AI) and fifth generation network technology (5G) are now being utilised by some companies and financial institutions such as banks to enhance their competitiveness and expand their businesses. The general types of AI include functional AI, interactive AI, text AI, visual AI and analytic AI. The key components of AI include machine learning, fast Internet connectivity, deep learning, neural networks and advanced data analysis. These components may be complemented by the adoption and use of standard 5G cellular networks. 5G utilises broadband Internet access and Internet connection, and is now employed by some banking institutions, especially in developed countries. It is not clear whether South African banking institutions have adopted 5G for their Internet connectivity and operations. AI and 5G may be used to detect and combat cybercrimes in banking institutions. On the other hand, AI and 5G may also be abused by cybercriminals to commit financial crimes such as money laundering and insider trading. In this regard it is submitted that South African policy makers should carefully revise the Cybersecurity Bill B6-2017 (Cybercrimes Bill) to embrace the use of AI and 5G to detect and combat cybercrimes in South African banks. Accordingly, this article examines the adequacy of the Cybercrimes Bill. It also explores the regulation and use of 5G and AI to detect, prevent and combat cybercrimes in banks and other financial institutions in South Africa.

A graph placement methodology for fast chip design.

Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce manufacturable layouts. Here we present a deepreinforcementlearning approach to chip floorplanning. In under six hours, our method automatically generates chip floorplans that are superior or comparable to those produced by humans in all key metrics, including power consumption, performance and chip area. To achieve this, we pose chip floorplanning as a reinforcementlearning problem, and develop an edge-based graph convolutional neural network architecture capable of learning rich and transferable representations of the chip. As a result, our method utilizes past experience to become better and faster at solving new instances of the problem, allowing chip design to be performed by artificial agents with more experience than any human designer. Our method was used to design the next generation of Google's artificial intelligence (AI) accelerators, and has the potential to save thousands of hours of human effort for each new generation. Finally, we believe that more powerful AI-designed hardware will fuel advances in AI, creating a symbiotic relationship between the two fields.

Federated Data: Toward New Generation of Credible and Trustable Artificial Intelligence

Federated ecology can provide an effective solution forthe serious isolated data island issues caused by data privacy protection and information security requirements in the era of artificial intelligence (AI). As the data foundation of federated ecology, federated data include the data of all the nodes in the federation, as wellas their storage, computation, and communication resources. For privacy-preserving, federated data are divided into private data and non-private data, and through the federated control of these data, data federalization can be realized. In data-driven AI technologies, federated data play an important role, and it can help realize effective data retrieval, pre-processing, processing, mining, and visualization for AI-based applications. It can also provide effective solutionsfor the dilemmas faced by AI technologies, such as training AI models without sufficient data, increasing the generality of AI models for different application scenarios and establishing a unified processing workflow for data security and privacy control in AI-based applications.

Analytics in Extracting Intelligence from IoT-Based Sensors in Transportation, Healthcare and Natural Gas Detection

Networking of sensors and the development of sensor systems have become routine technological endeavors. The advent of Internet-of-Things (IoT) technologies has enabled an expanding matrix of applications for integration of specialized sensor systems. The focus on innovation is now on driving costs down, while increasing performance. Additive manufacturing techniques and topological improvements are key drivers of innovation for sensors.As sensors and sensor systems transform their capabilities from (strictly) data generation and gathering, the focus now shifts on how to increase the utility of the sensor and sensor system.SensorComm defines the utility of a sensor as its ability to provide intelligence. Intelligence comes from the collection of data. Through data-analytics, information can be extracted. The final step of interpreting the information is through the generation of intelligence. Off-the-shelf tools are available that include machine learning, artificial intelligence, and even toolboxes in platforms like MATLAB, all of which have changed the way we obtain information. The next step is obtaining the intelligence.SensorComm has applied this methodology of intelligence extraction in three areas: 1) transportation 2) healthcare and now 3) natural gas monitoring/detection.In transportation, we will describe how intelligence is obtained from SensorComm’s IoT-based mobile pollution monitoring system. Installed at the tailpipe, Wi-NOx™ captures the real-time pollution footprint of vehicles. The system extracts, analyzes and transforms NOx emissions data into real-time information providing transportation managers with business intelligence that leads to operational efficiencies and measurable savings. Wi-NOx™ is the cornerstone of a global pollution mitigation strategy that enables fuel savings, emissions reduction, vehicle optimization and extended asset life (to responsibly delay significant infrastructure investments like electrification).The Wi-NOx™ system was developed to monitor emissions from vehicles. Recently, we have modified it to remotely monitor patients in healthcare applications, and now, to monitor natural gas for oil & gas applications.In healthcare, Sensorcomm has developed a wrist-worn temperature monitoring system for COVID-19 detection using the Data-Centric Care™ model. Data-Centric Care™ focuses on data to provide the necessary intelligence to correctly assess the situation. The system uses (near) continuous temperature monitoring of individuals to identify at-risk persons who may or may not be symptomatic (for COVID-19 and beyond). The system uses a smart wearable device (wrist-worn) that monitors temperature as a trigger for second-tier screening from which a corresponding response is implemented (e.g. return to daily activity, isolate, elevated care). The continuous monitoring allows for the development of individualized thresholds (average temperature and fever threshold) rather than using population thresholds. The system identifies at-risk individuals (people with anomalies in their daily temperature profiles) for additional screening, prior to entering a facility.The most recent development at SensorComm is the partnership with the Center for Micro-Engineered Materials at the University of New Mexico, who is developing mixed-potential methane sensors using additive manufacturing. Mitigating environmental effects and financial costs of methane leaks requires a robust, widely deployable, low-cost sensing technology to provide continuous monitoring of natural gas infrastructure. Since methane emissions originate from multiple sources (agricultural or wetlands sites), sensors need to distinguish between natural gas or one of these other sources. Strategies for gathering the data, extracting the information and providing intelligence will be discussed.This talk will discuss the different techniques utilized in the data analytics and will provide key examples of how intelligence is extracted in the various applications.This material is based upon work supported by the U.S. Department of Energy, National Energy Technology Office program under Award Number DE-FOA-0031864, and partially by the National Science Foundation under Grant No. 1632498. Figure 1

Financial Reporting as a Source of Innovation-Relevant Competitive Intelligence

In this article, we demonstrate that contemporary financial reporting systems have the capacity to contribute significantly to the generation of innovation-relevant competitive intelligence. This potential arises because, as part of its regular work, the financial reporting system compiles, collects, analyzes, and synthesizes strategically relevant information about (i) complex internal technical processes related to inventions, discoveries, product development, process innovations, and the like; (ii) detailed sales, cost, and profit forecasts; (iii) consumer trends and innovative developments in the firm’s markets; (iv) actual and potential competitor actions in the market; and (v) regulatory changes, macro-economic trends, and information about the likely impact of government policies. We argue that this competitive intelligence can, if properly harnessed, lead to better informed discourses and decisions around innovation. Consequently, we highlight the potential—from both academic research and practical perspectives—of financial reporting as an enabler of innovation-relevant competitive intelligence embeddedness within firms.

Gestão do conhecimento como um elemento chave para a geração de inteligência competitiva organizacional

Knowledge Management in the organizational sphere brings new perspectives to the business, since it generates value for the processes that is fundamental for the development of products and services. Within this context, this study aims to analyze, in a polysemy perspective, the fundamentals, characteristics and applications of knowledge management in organizational development and demonstrate how through competitive intelligence, built on knowledge and informational competence, it is possible to achieve good results and improve the positioning in the market, using the proposed model of organizational competitive intelligence generation. Based on the literature analysis, it was verified that perception of the alignment between Knowledge Management and organizational objectives is important to ensure adjustment of actions with the strategic objectives of the company constituting, therefore, a competitive differential in organizations. In addition, Knowledge Management systematized by the PDCA tool, implemented in continuous actions andprocesses, brings good results, such as the involvement of the organization's strategic level, which, with technology as a tool, creates a platform for the communities of virtual practices.

Enhancing Market Orientation of Cocoa Farmers through Farmer Business Schools: The Ghana Cocobod Experience

The study sought to ascertain how the Farmer Business School (FBS) introduced in 2012 by the Ghana Cocoa Board as an extension approach makes the Ghanaian cocoa farmer more business and entrepreneurially minded. The research methods included using the descriptive survey and multi-stage sampling techniques to cover the six cocoa regions and 600 cocoa farmers. The 600 cocoa farmers selected were made up of 230 non-participants and 370 participants of the FBS. In terms of competency, the results showed that FBS participants had greater knowledge, a more positive attitude, and better skills than non-participants. In terms of market orientation, FBS participants were more competitor oriented, had less intelligence generation, were less market responsive, had less intelligence dissemination, had more customer emphasis, and had more interfunctional coordination than non-participants. The market orientation of cocoa farmers can be enhanced by provision of relevant practical experience for attitudinal change.

Stewardship of noncommunicable diseases in Iran: a qualitative study

PurposeNoncommunicable diseases (NCDs) count for over 80% of premature death worldwide. More than 76% of the total burden of diseases in Iran is devoted to NCDs. In line with the World Health Organization action plan, Iran has developed its national action plan that led to establishment of the National Committee for Prevention and Control of NCDs (INCDC), whose aim is 30% mortality reduction attributed to NCDs by 2030. The stewardship of health system is the cornerstone of performing and sustaining meaningful actions toward prevention and control of NCDs. The literature is tiny on how to materialize the stewardship and governance of health system. The purpose of this article is to report the findings of a national study that aimed to identity functions and subfunctions of stewardship of NCDs and its related risk factors in Iran.Design/methodology/approachThis is a qualitative study. The authors conducted interviews with 18 purposefully selected interviewees until the authors reached saturation. Thematic content analysis was used for analysis and MAXQDA 10 was employed for data management. The difficulty of coordinating with interviewers and health policymakers in the field slowed the process of research progress.FindingsThe authors identified seven themes and categorized them as main functions for appropriate stewardship of NCDs in Iran, including intelligence generation; strategic framework; evidence-based policies/decisions; system design; resource allocation/development; capacity-building and enforcement/alignment; and categorized them as important.Practical implicationsThe seven themes presented as stewardship functions include concepts and practical examples of the experiences and performance of leading countries in the field of NCDs control that can help policymakers and health managers for better descion-making.Originality/valueIran adopted its national action plan in 2015 and WHO selected Iran as a fast-track country in 2017. The study confirmed that to achieve the global targets, appropriate and contextual stewardship for any specific setting is fundamental. Iran needs to improve its stewardship for prevention and control of NCDs and implement its national action plan. Therefore, the functions and policies outlined in this article for the proper performance of NCDs can improve more meaningful practices in this area in Iran and many other countries.

The bidirectional complementarity between market orientation and launch proficiency affecting new product performance

PurposeBased on the resource-based view and dynamic capabilities theory, this study aims to examine the complementarity between market orientations and launch proficiency as a driver of new product performance.Design/methodology/approachIn this research, an on-site survey of Iranian, research and development- intensive, manufacturing firms was carried out to examine the proposed hypotheses. Based on the 179 workable survey responses, a covariance-based structural equation modeling was applied to verify the proposed theoretical model.FindingsThe empirical findings reveal that the effects of market orientation or launch proficiency alone are not significant while the complementarity between them significantly influences new product performance. These research outcomes suggest that this complementarity leads to a bidirectional co-specialization relationship in firms, promoting both market intelligence generation processes and product-launch capabilities, and therefore resulting in superior new product performance.Originality/valueThe current characterization of the resource-based theory signifies that strategic resources merely have potential value and actualizing this value needs complementary organizational capabilities. Furthermore, the literature notably lacks empirical findings supporting these complementarities. Therefore, the findings concerning the bidirectional co-specialization between market orientation and launch proficiency not only provide empirical support for the dynamic capabilities theory but also address recent research calls to identify and calibrate the importance of dynamic capabilities for leveraging market orientation on new product performance.

Cyber Threat Intelligence Framework for Incident Response in an Energy Cloud Platform

Advanced information technologies have transformed into high-level services for more efficient use of energy resources through the fusion with the energy infrastructure. As a part of these technologies, the energy cloud is a technology that maximizes the efficiency of energy resources through the organic connection between the entities that produce and consume the energy. However, the disruption or destruction of energy cloud systems through cyberattacks can lead to incidents such as massive blackouts, which can lead to national disasters. Furthermore, since the technique and severity of modern cyberattacks continue to improve, the energy cloud environment must be designed to resist cyberattacks. However, since the energy cloud environment has different characteristics from general infrastructures such as the smart grid and the Advanced Metering Infrastructure (AMI), it requires security technology specialized to its environment. This paper proposes a cyber threat intelligence framework to improve the energy cloud environment’s security. Cyber Threat Intelligence (CTI) is a technology to actively respond to advanced cyber threats by collecting and analyzing various threat indicators and generating contextual knowledge about the cyber threats. The framework proposed in this paper analyzes threat indicators that can be collected in the advanced metering infrastructure and proposes a cyber threat intelligence generation technique targeting the energy cloud. This paper also proposes a method that can quickly apply a security model to a large-scale energy cloud infrastructure through a mechanism for sharing and spreading cyber threat intelligence between the AMI layer and the cloud layer. Our framework provides a way to effectively apply the proposed technologies through the CTI architecture, including the local AMI layer, the station layer, and the cloud layer. Furthermore, we show that the proposed framework can effectively respond to cyber threats by showing a 0.822 macro-F1 score and a 0.843 micro-F1 score for cyberattack detection in an environment that simulates a model of an attacker and an energy cloud environment.

Examining the impact of market orientation on service quality in shipping companies: the role of risk propensity

PurposeThe purpose of this study is to investigate the relationship between market orientation and service quality in the context of shipping companies. Moreover, this study aims to explore the moderating role of risk propensity in the above-mentioned relationship.Design/methodology/approachA research study was carried out on a sample of 255 shipping companies located in Greece. Data were obtained through a structured questionnaire from the managing directors or other senior executives. Data were analyzed through exploratory and confirmatory factor analyses, while the hypothesized relationships were determined through regression analyzes.FindingsThe analysis of the empirical data shows that intelligence generation and responsiveness have a positive and significant impact on the service quality of shipping companies. Also, the findings showed that this relationship is influenced by the degree of risk propensity, revealing, thus its moderating role on the market orientation – service quality link.Originality/valueThe current study contributes to the literature by examining for the first time the moderating role of risk propensity in the relationship between market orientation and service quality. Additionally, this is the first study that attempts to investigate the way the dimensions of market orientation predict service quality in the context of shipping companies.

“IMPACT OF PRODUCT INNOVATION ON THE FINANCIAL PERFORMANCE OF THE SELECTED ORGANIZATIONS: A STUDY IN INDIAN CONTEXT”

The purpose of this research is to analyze the determinants of product innovation and its impact on the financial performance of the organizations. Specifically, the study examines the impact of intelligence generation, intelligence dissemination, product-process innovation, marketing support of the product, quality, Dependability/ Delivery, Technology selection, Flexibility on the financial performance of the automobile companies. The models of product innovation provided the theoretical framework for the research. The model of product-process innovation provides the basis for further research. The first concept explains the link between organizations surroundings and its innovation targets (Utterback JM 1974, 1975) (Miller & Friesen, 1982)(Milling, 1996) whereas the second concept explains the connection between firm’s performance level i.e. innovative performance, financial performance, organizational performance and marketing performance and its innovation types i.e. product innovation, process innovation, organizational innovation and marketing innovation (Abernathy & Townseed, 1975) (Abernathy & Utterback, June/July 1978) (Gunday, et al., 2011). From these concepts evolved this study i.e. to evaluate the impact of product innovation on the financial performance of the organizations.