Intelligence Purposes Research Articles

A STUDY ON THE NUMEROUS ELEMENTS OF EMOTIONAL INTELLIGENCE AND LEADERSHIP QUALITIES AND ITS IMPACT ON CONFLICT MANAGEMENT: A REVIEW OF LITERATURE

The purpose of emotional intelligence is felt necessary because it is an unseen attribute of each and every person which needs to be identified and evaluated as per the needs of certain task, activity and event, where one is involved. The proposed research project aims at exploring the concept of emotional intelligence and its impacts on leadership and teamwork effectiveness. Like other competitive skills and personality aspects the notion of EI has attracted enormous popularity at academic and organizational levels. Academic institutions endeavour to develop emotionally intelligent students in order to prepare them for working effectively in their work environment. On the other hand different organizations are more inclined towards recruiting EI employees as trainers, and making investments in hiring EI professional staff and providing training to their existing workforce in order to achieve competitive edge in today’s competitive work environment. Despite gaining such an enormous popularity the subject of EI remained controversial and debates exist among different scholars and researchers on different aspects of EI.The paper is focusing on the impact of emotional intelligence and knowledge management on leadership qualities.For this purpose two researchers have conducted a comprehensive study of the existing literature on the subject matter that covers; an analysis of the existing models of EI; review of debates and controversies that exist among the scholars on the subject; and different strategies through which EI can be developed on academic and organizational context.

Технології ситуативного моделювання як засіб розвитку мовленнєвої компетентності особистості молодшого спеціаліста

The article considers the necessity of developing the vocabulary competence of this group of future specialists, who should be ready for active professional and social activity, responsible, able to make and implement professionally informed decisions, taking into account the current national system of training of junior specialists of different educational branches of the problem. Situational modeling technologies (business game, imitation, simulation, role play, etc.) have been identified as an effective means of solving this problem. The purpose of intelligence is to consider the use of situational modeling technologies in the Ukrainian language classes by professional direction as a means of solving the problem of qualitative professional training of the junior specialist, in particular – the development of the personality's speech competence. Examples from the experience of the author of the article are given: imitation game Telephone conversation of seller-consultant of online store and client, simulation game Presentation of business plan of the company, role-playing game Let's be polite. Talk on the phone etc. It is concluded that interactive technologies that promote the development of communicative skills of future junior specialists in the further professional sphere, the ability to think creatively, stimulate interest and motivation specific solutions and actions, applying unconventional approaches to solving professional problems.

POSITIVATION AS A SUGGESTIVE FACTOR OF THE RELIGIOUS DISCOURSE

The object of the study is to identify the texts of religious sermons, the subject of the study are the linguistic factors of creating positive emotionality as an influential factor in religious preaching. The purpose of intelligence was to identify verbal markers of positivity as a factor in the suggestiveness of religious sermon texts. During the research, a number of tasks were solved, namely: highlighting the keywords as markers of positivity in the texts of recorded religious sermons; keywords are classified by lexico-semantic groups; their influence specificity is established. The article also highlights the main approaches to understanding the concept of "emotions", specifies the essence of positive emotions and establishes the role of positivity as a basic factor in the suggestiveness of religious discourse, in particular in the segment of the preaching genre. The verbal means of embodying positive emotions are analyzed, the priority of their semantic explication in creating the ecological suggestiveness of preaching is proved. It is established that the semantics of a word, in particular its connotative component, plays a decisive role in the formation of a positive perception of sermons. The reconstruction of the semantics and level of suggestion of the keywords carried out in the course of the study gives the following conclusions: 1) the most frequent are precedent tokens (46%). The associative bonding and the general familiarity of these words facilitates the cognitive processes of information perception, which optimizes the impact and enables the creation of a positive emotional background in the sermon texts; 2) less actively functioning abstract nouns denoting inherent religions and moral and ethical categories (33%). The connotative semantics of the keywords highlighted in this group correlate with positive emotions, the activation of which contributes to improving the memorization of information, enhances the imaginative thinking of the recipient, and therefore reinforces the influence; 3) the words that belong to the lexico-semantic group of adjectives for the designation of moral and ethical characteristics and the tokens for the designation of action appeared the least frequency. They are 11% and 10% respectively. Keywords: emotions, suggestion, positivism, religious discourse, sermon, key words, lexical-semantic group, semantic.

The Complexity of Coordination Among Indonesian State

The reforms in Indonesia have given birth to innovations in institutional arrangement and has become one of the priorities for democracy that is still being fought for. The problem that arises after the reforms have taken place is not all state institutions are arranged and in accordance with the values ​​and principles of democracy, including the arrangement of state intelligence institutions in Indonesia. The existing State Intelligence Institutions (besides Indonesian National Armed Forces (TNI) and Indonesian National Police (POLRI)) have Task Implementation Operational Standards (SOPT) which are based on the duties and capabilities possessed, but are not supported by adequate capacity building, so that these institutions are less able to carry out the mandate stated in Article 2 of Law No. 17 Year 2011. Not all existing National Intelligence Institutions’ personnels (besides TNI and POLRI) have professional resource capabilities in the intelligence implementation as mentioned in Article 2 and Article 3 of Law No. 17 Year 2011. Almost most of the people or citizens in Indonesia assess intelligence as someone who is looking for information about crime and only in the scope of POLRI and TNI. The complexity of State Intelligence Institutions’ Coordination in Indonesia is not something that needs to be made a scapegoat for the failure of intelligence’s tasks. On the contrary, it must be seen as a source to achieve the success in carring out the tasks. Therefore the solution that can be done is by the Development of Capacity Building of the State Intelligence Institutions which is supported by the Network Type Command (NTC) coordination model, namely HTM, MTM and NTM model developments. The NTC model is a large coordination model with a broad network but still under one control or command, so that information processing can become increasingly faster and more accurate which in turn can increase high power in carrying out early detection and warning. This model is also able to make a more significant contribution in developing the operational plans and strategies of state intelligence institutions in order to achieve the role, purpose and function of state intelligence effectively. Keywords: Complexity, Institution, Intelligence, The Republic of Indonesia DOI : 10.7176/PPAR/9-1-05

The Complexity of Coordination Among Indonesian State Intelligence Institutions

The reforms in Indonesia have given birth to innovations in institutional arrangement and has become one of the priorities for democracy that is still being fought for. The problem that arises after the reforms have taken place is not all state institutions are arranged and in accordance with the values ​​and principles of democracy, including the arrangement of state intelligence institutions in Indonesia. The existing State Intelligence Institutions (besides Indonesian National Armed Forces (TNI) and Indonesian National Police (POLRI)) have Task Implementation Operational Standards (SOPT) which are based on the duties and capabilities possessed, but are not supported by adequate capacity building, so that these institutions are less able to carry out the mandate stated in Article 2 of Law No. 17 Year 2011. Not all existing National Intelligence Institutions’ personnels (besides TNI and POLRI) have professional resource capabilities in the intelligence implementation as mentioned in Article 2 and Article 3 of Law No. 17 Year 2011. Almost most of the people or citizens in Indonesia assess intelligence as someone who is looking for information about crime and only in the scope of POLRI and TNI. The complexity of State Intelligence Institutions’ Coordination in Indonesia is not something that needs to be made a scapegoat for the failure of intelligence’s tasks. On the contrary, it must be seen as a source to achieve the success in carring out the tasks. Therefore the solution that can be done is by the Development of Capacity Building of the State Intelligence Institutions which is supported by the Network Type Command (NTC) coordination model, namely HTM, MTM and NTM model developments. The NTC model is a large coordination model with a broad network but still under one control or command, so that information processing can become increasingly faster and more accurate which in turn can increase high power in carrying out early detection and warning. This model is also able to make a more significant contribution in developing the operational plans and strategies of state intelligence institutions in order to achieve the role, purpose and function of state intelligence effectively. Keywords: Complexity, Institution, Intelligence, The Republic of Indonesia DOI : 10.7176/PPAR/9-1-05

An Evaluation Instrument (Q-U) for Measuring the usability of Business Intelligence Application

The main purpose of Business Intelligence (BI) applications is to focus on supporting organizations' strategic, operational and tactical decisions by providing comprehensive, accurate and vivid data to the decision makers. Usability testing is an important part of software development. It focuses on how well users can understand and utilize a product/software in fulfilling their intended goals. In the software development, most software tends to be complex. Hence, the way to ensure that such software will satisfy users will be done by measuring the usability of such software. Due to using many data integration techniques in developing BI application, thus, the different software have different instruments to measure the usability of BI software. In this paper, the new instrument (Q-U) for measuring BI software was developed. A systematic approach was adopted which suggested by many researchers in developing the intended Q-U instrument.The literature has been reviewed in a systematic manner to elicitation Q-U instrument attributes. Multi-methods were used in validating Q-U instrument such as face validity, a pilot study for testing the goodness of Q-U consistency, and factor analysis. Multi-methods were used in validating Q-U instrument such as face validity, a pilot study for testing the goodness of Q-U consistency, and factor analysis as well as Bartlett’s test for measuring the reliability of Q_U. The finding obtained indicates the workability of Q_U in measuring the usability OF BI applications. Ultimately, Q_U was used in measuring BI application in two different sectors.

The trouble with (supply-side) counts: the potential and limitations of counting sites, vendors or products as a metric for threat trends on the Dark Web

ABSTRACTMany national security threats now originate on the Dark Web. As a result of the anonymity of these networks, researchers and policymakers often use supply-side data (i.e. the number of sites) as a threat metric. However, the utility of these data depends upon the underlying distribution of users. Users could be distributed uniformly, normally or in a power law across Dark Web content. The utility of supply-side counts varies predictably based upon the underlying distribution of users. Yet, the likelihood of each distribution type varies inversely with its utility: uniform distributions are most useful for intelligence purposes but least likely and power law distributions are least useful but occur most commonly. Complementing supply-side counts with demand-side measures can improve Dark Web threat analysis, thereby helping to combat terrorism, criminality and cyberattacks.

COMMUNICATIVE PARADIGM OF MASTERING A FOREIGN LANGUAGE IN THE SYSTEM OF HIGHER EDUCATION OF UKRAINE

The purpose of the article is to provide theoretical substantiation and development of a model for teaching students of Ukrainian higher education institutions in other language communicative negotiation skills. The methodology involves the comprehensive use of general-scientific philosophical and cultural approaches to the realization of the purpose of scientific intelligence and a set of methods of linguistics, pedagogy and cultural studies. This research is performed in the framework of the integration approach to the communication process, from which the success of communication is largely determined by the awareness of the linguistic, cultural and communicative-communicative features of communicants that are manifested in strategies (methods) for achieving practical goals. The scientific novelty of the obtained results consists in considering the formation of professional communication skills in a foreign language as a conglomerate of professional communication, the identification and description of linguistic, stylistic, sociocultural, communicative and behavioral characteristics of the negotiations, as well as the further development of a phased model for students of non-philological specialties, to carry out an effective process of intercultural communication. Conclusions. Mastering intercultural, professionally meaningful communication involves the learning of professional concepts, socio-cultural values and communicative norms of the foreign cultural community as intercultural interaction, and, first of all, in international negotiations, the role of awareness of their own culture and cultural specificity of the partner, as well as the degree of readiness adequately, from the standpoint of ethnic-liberalism, perceive the professional culture of another community. The main components of the content of learning the skills of constructing a communicative process in a foreign language are: structural organization of communication; meta-communication tools, secured at each stage of communication; strategies and tactics of the communication process at each stage of its implementation; communicative acts, most typical for the negotiation process; style of communication, taking into account non-cultural specifics for the preparation and successful implementation of a communicative act.

Topology, robustness, and structural controllability of the Brazilian Federal Police criminal intelligence network

Law enforcement and intelligence agencies worldwide struggle to find effective ways to fight organized crime and reduce criminality. However, illegal networks operate outside the law and much of the data collected is classified. Therefore, little is known about the structure, topological weaknesses, and control of criminal networks. We fill this gap by presenting a unique criminal intelligence network built directly by the Brazilian Federal Police for intelligence and investigative purposes. We study its structure, its response to different attack strategies, and its structural controllability. Surprisingly, the network composed of individuals involved in multiple crimes of federal jurisdiction in Brazil has a giant component enclosing more than half of all its edges. We focus on the largest connected cluster of this network and show it has many social network features, such as small-worldness and heavy-tail degree distribution. However, it is less dense and less efficient than typical social networks. The giant component also shows a high degree cutoff that is associated with the lack of trust among individuals belonging to clandestine networks. The giant component of the network is also highly modular (Q=0.96) and thence fragile to module-based attacks. The targets in such attacks, i.e. the nodes connecting distinct communities, may be interpreted as individuals with bridging clandestine activities such as accountants, lawyers, or money changers. The network can be disrupted by the removal of approximately 2% of either its nodes or edges, the negligible difference between both approaches being due to low graph density. Finally, we show that 20% of driver nodes can control dynamic variables acting on the whole network, suggesting that non-repressive strategies such as access to basic education or sanitation can be effective in reducing criminality by changing the perception of driver individuals to norm compliance.

INDIVIDUAL GROWTH STRATEGY FOR TEACHERS IN THE UNIVERSITIES OF THE REPUBLIC OF POLAND


 
 
 The higher education development Strategies for 2010 – 2020 as well as the universities development Strategies include sections indicating the key role of the teacher in the framework of providing the quality of the education and the university rank, by extension. However, it does not specify the ways and means of supporting the teacher professional growth. The urgency of this scientific research is based on the theoretical substantiation of the individual strategy of teacher professional growth as an effective mechanism for supporting their professional growth.The purpose of this scientific intelligence is to consider and theoretically substantiate the individual strategy of the teacher professional growth as an innovative technology for supporting the professional growth of teachers of the management departments in the universities of the Republic of Poland. The issues associated with the implementation of development strategies in Polish universities are characterized.It is established that the process of creating a growth strategy for teachers of management departments in the universities of the Republic of Poland should include the following stages: preparatory (analysis of own potential, motivation, coordination of the individual strategy with the strategy of university and its structural divisions development); formative (formation of a strategic goal, strategic targets, tasks; building up a professional growth trajectory, vertical or horizontal one); content-procedural (formal, informal, informational education; development strategies for 4 components of the professional activity of teachers of the management departments in the universities of the RP); the fourth stage is reflexive (monitoring of own professional activity, stimulation, self-esteem, its comparison with the assessment of the head of the department, students and adjustment actions).
 
 

The forensic intelligence continuum in the military context

Law enforcement forensic intelligence is the accurate, timely and useful product of logically processing forensic case data for investigation and/or intelligence purposes and is, to some extent, an emerging discipline. In the military domain, intelligence has a long history and military organizations have forensic science capabilities. However, to date, military organizations have not formally implemented forensic intelligence models. Forensic science is an end-to-end process and forensic intelligence spans the continuum between forensic science informing law enforcement investigations or military intelligence through to prosecution in the criminal justice system. Hence, forensic intelligence can be consistent with military objectives and could be a valuable model for military organizations in the long-term. The purpose of this article is to review law enforcement forensic intelligence models and explore requirements for military forensic intelligence models. To achieve operational utility, a military forensic intelligence model needs to enable the provision of timely forensic intelligence to be fused with all-source intelligence. The right methodologies will preserve the forensic science rigor, which will balance the forensic intelligence needs with the criminal justice system standards. A principle-based approach to the development of a military forensic intelligence model can provide a flexible and adaptive model across the spectrum of military conflicts.

Nuclear, chloroplast, and mitochondrial data of a US cannabis DNA database.

As Cannabis sativa (marijuana) is a controlled substance in many parts of the world, the ability to track biogeographical origin of cannabis could provide law enforcement with investigative leads regarding its trade and distribution. Population substructure and inbreeding may cause cannabis plants to become more genetically related. This genetic relatedness can be helpful for intelligence purposes. Analysis of autosomal, chloroplast, and mitochondrial DNA allows for not only prediction of biogeographical origin of a plant but also discrimination between individual plants. A previously validated, 13-autosomal STR multiplex was used to genotype 510 samples. Samples were analyzed from four different sites: 21 seizures at the US-Mexico border, Northeastern Brazil, hemp seeds purchased in the US, and the Araucania area of Chile. In addition, a previously reported multi-loci system was modified and optimized to genotype five chloroplast and two mitochondrial markers. For this purpose, two methods were designed: a homopolymeric STR pentaplex and a SNP triplex with one chloroplast (Cscp001) marker shared by both methods for quality control. For successful mitochondrial and chloroplast typing, a novel real-time PCR quantitation method was developed and validated to accurately estimate the quantity of the chloroplast DNA (cpDNA) using a synthetic DNA standard. Moreover, a sequenced allelic ladder was also designed for accurate genotyping of the homopolymeric STR pentaplex. For autosomal typing, 356 unique profiles were generated from the 425 samples that yielded full STR profiles and 25 identical genotypes within seizures were observed. Phylogenetic analysis and case-to-case pairwise comparisons of 21 seizures at the US-Mexico border, using the Fixation Index (F ST ) as genetic distance, revealed the genetic association of nine seizures that formed a reference population. For mitochondrial and chloroplast typing, subsampling was performed, and 134 samples were genotyped. Complete haplotypes (STRs and SNPs) were observed for 127 samples. As expected, extensive haplotype sharing was observed; five distinguishable haplotypes were detected. In the reference population, the same haplotype was observed 39 times and two unique haplotypes were also detected. Haplotype sharing was observed between the US border seizures, Brazil, and Chile, while the hemp samples generated a distinct haplotype. Phylogenetic analysis of the four populations was performed, and results revealed that both autosomal and lineage markers could discern population substructure.

A mini-multiplex SNaPshot assay for the triage of degraded human DNA

Short Tandem Repeat (STR) genotyping is currently the primary DNA-based method for human identification, however it can have limited success when applied to degraded human remains. Massively parallel sequencing (MPS) provides new opportunities to obtain genetic data for hundreds of loci in a single assay with higher success from degraded samples. However, due to the extra requirement for specialised equipment, expertise and resources, routine use of MPS may not be feasible or necessary for many forensic cases. Here we describe the development of a mini-multiplex SNaPshot screening tool (Miniplex) for human samples which allows the qualitative comparison of short mitochondrial and nuclear DNA targets, as well as the interrogation of biogeographic ancestry, lineage, and phenotype single nucleotide polymorphisms (SNPs). This tool is useful to triage samples based on sample quality prior to downstream identification workflows and provides broad biological profile data for intelligence purposes.

Secure Video Streaming Implementation for Unmanned Air Vehicle (UAV) Data Link with Raspberry Pi 3 over https

With the widespread usage of the UAVs, the questions about their reliabilities have increased recently. Because they are generally used for reconnaissance, surveillance and intelligence purposes, it is very important that air vehicles are physically robust and that software and data transfer is reliable. The first thing to cover when it comes to UAV security and reliability is the data link subsystem. Although UAVs are produced by many companies, data link/communication security problem still continues. It is very important to send the right information to the right spot over long distances. In this paper, a representation environment created for working with secure data link and a new method for video streaming for UAVs developed in this environment are presented. In the representation environment, a data link system has been designed with Raspberry Pi 3, Picamera and https for video streaming and the method has been verified by experiments. The secure image transfer method was formed by adapting different existing methods (Motion-Jpeg, TCP/IP, TLS/SSL and user authentication/authorization system) to a different area as UAV system and using them together rather than developing a new encryption method. This method will be successfully used in UAV systems due to its low cost and reliability.

Techniques to Detect Modified Video

In today’s multimedia world, billions of photographs and videos are generated each day. Of these, about 30,000 are obtained by the U.S. government for law enforcement and intelligence purposes. These could be photos and videos of people, including child pornography, that are of interest to the FBI, videos from surveillance cameras, or photos and videos obtained from foreign adversaries that may be a threat to the United States. Material may also be multimedia submitted to news services or posted to the internet that portray world events that could affect decisions made by our leadership. Of these images or videos, some could have been altered to improve the artistic appearance or storytelling aspects of the material, but some of the alterations may have been done to change the narrative to influence events, spread false information, or provide misdirection. Defense Advanced Research Projects Agency (DARPA) has begun a multiyear program to automate the detection of modified videos and images called Media Forensics (MEDIFOR). The details of this program are beyond the scope of this paper, but the program is referenced to illustrate the seriousness of this problem. This paper will describe some of the tests that have been done manually through the years to identify falsified material without the aid of the technology that is now being developed for the MEDIFOR program. <disp-quote xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper will describe some of the tests that have been done manually through the years to identify falsified material without the aid of the technology that is now being developed for the MEDIFOR program. </disp-quote>

Navigational Challenges in Diver-AUV interaction for underwater mapping and intervention missions

Diver Navigation and Imaging System (DiNIS) is a compact, capable, integrated, underwater hand-held diver navigation system. DiNIS provides a complete suite of commercial underwater navigation sensors for the purpose of waypoint navigation, Intelligence, Surveillance, and Reconnaissance (ISR), bathymetry, and underwater imagery in the form of both sonar and video. DiNIS functionality includes Mission Planning, Waypoint Navigation, Sonar Imagery, Video Imagery, and Marking of Targets of Interest. During the recent sea trials DiNIS achieved excellent performance and navigation capability was superb. The average error was 0.3° - 0.5° of distance traveled after accounting for any offsets or errors in our position marks (GPS error). Moreover, we desigend an on-board calibration routine that helps with compensating for hard iron signature of the device, which can be performed in air or in-water. Our Diver Navigators equipped with these components can then work cooperatively with Autonomous Underwater Vehicles (AUV), autonomous surface vehicles (ASV) or manned surface/subsurface vessels equipped with much higher grade navigation sensors.

Cyber Intelligence and OSINT: Developing Mitigation Techniques Against Cybercrime Threats on Social Media

Open Source Intelligence (OSINT) involve the collection or processes of gathering data and profiling of publicly available private and public sector information sources about individuals and business intelligence purposes. These sources includes internet and other social media platforms such as Facebook, emails, twitters, what’s apps for. Much debate and research has been done on the threats, vulnerabilities and the impact of the use of social media sites but this study is to minimize bias. Objective: To systematic review and synthesis findings on current empirical research topic on cyber intelligence and open source intelligence profiling to identifying both the threats and vulnerabilities on online social networks for mitigation purposes. Methods: A systematic narrative review of research using rigorous searching on online databases. The results were then subjected to review using a quantitative and quality appraisal tool and a narrative synthesis methodology. A theoretical framework was developed for the synthesis using concepts from the literature ‘The Effectiveness of Neighborhood Watch’. A Campbell Systematic Review Results: The systematic search retrieved 18 original research papers investigating and exploring the effects of online social media technologies on open source intelligence concepts. The use of social media were reported as enhancing social cohesion among peers, improving business opportunities as information gets to customers quickly. Safe identity experimentations, OSINT and cyber intelligence social media gathering is especially vital in the modern war on terror. Understanding terrorist network topologies, crime data analysis and mining, countering improvised explosive devices. The study also highlighted potential negative impacts and threats and the effect of social engineering threats in SNSs, threats of social networking and identity crime. Vulnerabilities of HTTP header information and cookies being sent to third-party aggregators as well harmful effects of exposure to threats. Conclusion: The systematic review has revealed extraordinary evidences and contradictory concepts. It has also revealed the underlining research challenges impacting on open source intelligence. Due to the invincibility nature of social media technologies, social media platforms are constantly being used for social, business and intelligence gathering purposes but to ensure proper and advance mitigating circumstance, further research is required to gain situational awareness and appropriate counter measure.

MDA, MDMA, and other "mescaline-like" substances in the US military's search for a truth drug (1940s to 1960s).

This article describes the context in which 3,4-methylenedioxyamphetamine (MDA), 3,4-methylenedioxymethamphetamine (MDMA) and other mescaline-like compounds were explored as hallucinogens for military and intelligence purposes from the 1940s to the 1960s. Germans first tested mescaline as a "truth drug" in a military context. In the 1940s, the United States military started testing hallucinogenic substances as truth drugs for interrogation and behavior manipulation. After tests carried out using mescaline and other drugs in 1950, some derivatives of mescaline were synthesized by the Army for the exploration of possible "speech-inducing" effects. After insufficient animal testing, the substances were given to patients at the New York State Psychiatric Institute (NYSPI). 3,4-Methylenedioxy-N-ethylamphetamine (MDE), a compound almost identical to MDMA, was among the compounds delivered for testing at the NYSPI. During tests with other derivatives (3,4-dimethoxyphenethylamine (DMA), 3,4-methylenedioxyphenethylamine (MDPEA), MDA) in 1952-53, an unwitting patient died in these tests, which was kept secret from the public. Research was interrupted and toxicological animal testing procedures were initiated. The secret animal studies run in 1953/1954 revealed that some of the "mescaline derivatives" tested (e.g. MDA, MDE, DMA, 3,4,5-trimethoxyamphetamine (TMA), MDMA) were considered for further testing in humans. In 1955, the military changed focus to lysergic acid diethylamide (LSD), but some interest in mescaline-like compounds remained for their ability to change mood and habit without interfering with cognition and sensory perception. Based on the known documents, it remains unclear (but probable) whether any of the mescaline derivatives tested were being used operationally.

Using handwriting to infer a writer’s country of origin for forensic intelligence purposes

Forensic science has traditionally focused the majority of its resources and objectives towards addressing Court-related questions. However, this view restricts the contribution of forensic science to one process and results in a loss of information as the investigative and intelligence roles are largely neglected. A forensic science discipline suffering from this imbalance is handwriting examination, which may be characterised as a time consuming and subjective process that is mostly carried out towards the end of the investigation for the purpose of judicial proceedings. Individual and habitual characteristics are the major handwriting features exploited, however alternate information concerning the author’s native language could potentially be used as a key element in an intelligence framework.This research focussed on the detection of characteristics that differentiate Vietnamese and English Australian writers based on their English handwriting. The study began with the extraction of handwriting characteristics from the writing of people from the two populations. The data was analysed using a logistic regression model and a classification and regression tree (CRT). Each recognised four class characteristics that were capable of distinguishing between the two nationalities. The logistic regression and CRT models were both capable of correctly predicting 93% of cases. Their predictive capabilities were then tested and supported using blind exemplars in order to mirror casework settings. It appeared that when using their respective class characteristics, the two models were capable of differentiating English Australians from Vietnamese in the data set. This proof of concept research demonstrated the plausibility of exploiting this additional information from a handwriting trace and taking advantage of it in an intelligence-led framework.

Sentiment Analysis of Tweets for Estimating Criticality and Security of Events

Social Media has become one of the major industries in the world. It has been noted that almost three fourth of the world's population use social media. This has instigated many researches towards social media. One such useful application is the sentimental analysis of real time social media data for security purposes. The insights that are generated can be used by law enforcement agencies and for intelligence purposes. There are many types of analyses that have been done for security purposes. Here, the authors propose a comprehensive software application which will meticulously scrape data from Twitter and analyse them using the lexicon based analysis to look for possible threats. They propose a methodology to obtain a quantitative result called criticality to assess the level of threat for a public event. The results can be used to understand people's opinions and comments with regard to specific events. The proposed system combines this lexicon based sentimental analysis along with deep data collection and segregates the emotions into different levels to analyse the threat for an event.